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Semenza JC. Climate Change and Contagion: The Circuitous Impacts From Infectious Diseases. J Infect Dis 2024; 229:928-930. [PMID: 38488102 DOI: 10.1093/infdis/jiad571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Indexed: 04/13/2024] Open
Affiliation(s)
- Jan C Semenza
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
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2
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Ballester J, van Daalen KR, Chen ZY, Achebak H, Antó JM, Basagaña X, Robine JM, Herrmann FR, Tonne C, Semenza JC, Lowe R. The effect of temporal data aggregation to assess the impact of changing temperatures in Europe: an epidemiological modelling study. Lancet Reg Health Eur 2024; 36:100779. [PMID: 38188278 PMCID: PMC10769891 DOI: 10.1016/j.lanepe.2023.100779] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/20/2023] [Accepted: 10/25/2023] [Indexed: 01/09/2024]
Abstract
Background Daily time-series regression models are commonly used to estimate the lagged nonlinear relation between temperature and mortality. A major impediment to this type of analysis is the restricted access to daily health records. The use of weekly and monthly data represents a possible solution unexplored to date. Methods We temporally aggregated daily temperatures and mortality records from 147 contiguous regions in 16 European countries, representing their entire population of over 400 million people. We estimated temperature-lag-mortality relationships by using standard time-series quasi-Poisson regression models applied to daily data, and compared the results with those obtained with different degrees of temporal aggregation. Findings We observed progressively larger differences in the epidemiological estimates with the degree of temporal data aggregation. The daily data model estimated an annual cold and heat-related mortality of 290,104 (213,745-359,636) and 39,434 (30,782-47,084) deaths, respectively, and the weekly model underestimated these numbers by 8.56% and 21.56%. Importantly, differences were systematically smaller during extreme cold and heat periods, such as the summer of 2003, with an underestimation of only 4.62% in the weekly data model. We applied this framework to infer that the heat-related mortality burden during the year 2022 in Europe may have exceeded the 70,000 deaths. Interpretation The present work represents a first reference study validating the use of weekly time series as an approximation to the short-term effects of cold and heat on human mortality. This approach can be adopted to complement access-restricted data networks, and facilitate data access for research, translation and policy-making. Funding The study was supported by the ERC Consolidator Grant EARLY-ADAPT (https://www.early-adapt.eu/), and the ERC Proof-of-Concept Grants HHS-EWS and FORECAST-AIR.
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Affiliation(s)
| | | | - Zhao-Yue Chen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Hicham Achebak
- ISGlobal, Barcelona, Spain
- Inserm, France Cohortes, Paris, France
| | - Josep M. Antó
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Jean-Marie Robine
- MMDN, University of Montpellier, Montpellier, France
- EPHE, Inserm, Montpellier, France
- PSL Research University, Paris, France
| | - François R. Herrmann
- Medical School of the University of Geneva, Geneva, Switzerland
- Division of Geriatrics, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Thônex, Switzerland
| | - Cathryn Tonne
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Jan C. Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Rachel Lowe
- Barcelona Supercomputing Center, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
- Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
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3
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Romanello M, Napoli CD, Green C, Kennard H, Lampard P, Scamman D, Walawender M, Ali Z, Ameli N, Ayeb-Karlsson S, Beggs PJ, Belesova K, Berrang Ford L, Bowen K, Cai W, Callaghan M, Campbell-Lendrum D, Chambers J, Cross TJ, van Daalen KR, Dalin C, Dasandi N, Dasgupta S, Davies M, Dominguez-Salas P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Freyberg C, Gasparyan O, Gordon-Strachan G, Graham H, Gunther SH, Hamilton I, Hang Y, Hänninen R, Hartinger S, He K, Heidecke J, Hess JJ, Hsu SC, Jamart L, Jankin S, Jay O, Kelman I, Kiesewetter G, Kinney P, Kniveton D, Kouznetsov R, Larosa F, Lee JKW, Lemke B, Liu Y, Liu Z, Lott M, Lotto Batista M, Lowe R, Odhiambo Sewe M, Martinez-Urtaza J, Maslin M, McAllister L, McMichael C, Mi Z, Milner J, Minor K, Minx JC, Mohajeri N, Momen NC, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Obradovich N, O'Hare MB, Oliveira C, Oreszczyn T, Otto M, Owfi F, Pearman O, Pega F, Pershing A, Rabbaniha M, Rickman J, Robinson EJZ, Rocklöv J, Salas RN, Semenza JC, Sherman JD, Shumake-Guillemot J, Silbert G, Sofiev M, Springmann M, Stowell JD, Tabatabaei M, Taylor J, Thompson R, Tonne C, Treskova M, Trinanes JA, Wagner F, Warnecke L, Whitcombe H, Winning M, Wyns A, Yglesias-González M, Zhang S, Zhang Y, Zhu Q, Gong P, Montgomery H, Costello A. The 2023 report of the Lancet Countdown on health and climate change: the imperative for a health-centred response in a world facing irreversible harms. Lancet 2023; 402:2346-2394. [PMID: 37977174 DOI: 10.1016/s0140-6736(23)01859-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/07/2023] [Accepted: 08/31/2023] [Indexed: 11/19/2023]
Affiliation(s)
- Marina Romanello
- Institute for Global Health, University College London, London, UK.
| | - Claudia di Napoli
- School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Carole Green
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Harry Kennard
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | - Daniel Scamman
- Institute for Sustainable Resources, University College London, London, UK
| | - Maria Walawender
- Institute for Global Health, University College London, London, UK
| | - Zakari Ali
- Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, London, UK
| | - Nadia Ameli
- Institute for Sustainable Resources, University College London, London, UK
| | - Sonja Ayeb-Karlsson
- Institute for Risk and Disaster Reduction, University College London, London, UK
| | - Paul J Beggs
- School of Natural Sciences, Macquarie University, Sydney, NSW, Australia
| | | | | | - Kathryn Bowen
- School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Max Callaghan
- Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Diarmid Campbell-Lendrum
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | - Jonathan Chambers
- Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Troy J Cross
- Heat and Health Research Incubator, University of Sydney, Sydney, NSW, Australia
| | | | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Niheer Dasandi
- International Development Department, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Euro-Mediterranean Center on Climate Change Foundation, Lecce, Italy
| | - Michael Davies
- Institute for Risk and Disaster Reduction, University College London, London, UK
| | | | - Robert Dubrow
- School of Public Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Matthew Eckelman
- Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Chris Freyberg
- Department of Information Systems, Massey University, Palmerston North, New Zealand
| | - Olga Gasparyan
- Department of Political Science, Florida State University, Tallahassee, FL, USA
| | | | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Samuel H Gunther
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ian Hamilton
- Energy Institute, University College London, London, UK
| | - Yun Hang
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | | | - Stella Hartinger
- Carlos Vidal Layseca School of Public Health and Management, Cayetano Heredia Pervuvian University, Lima, Peru
| | - Kehan He
- Bartlett School of Sustainable Construction, University College London, London, UK
| | - Julian Heidecke
- Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
| | - Jeremy J Hess
- Centre for Health and the Global Environment, University of Washington, Washington, DC, USA
| | - Shih-Che Hsu
- Energy Institute, University College London, London, UK
| | - Louis Jamart
- Institute for Global Health, University College London, London, UK
| | - Slava Jankin
- Centre for AI in Government, University of Birmingham, Birmingham, UK
| | - Ollie Jay
- Heat and Health Research Incubator, University of Sydney, Sydney, NSW, Australia
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- International Institute for Applied Systems Analysis Energy, Climate, and Environment Program, Laxenburg, Austria
| | - Patrick Kinney
- Department of Environmental Health, Boston University, Boston, MA, USA
| | - Dominic Kniveton
- School of Global Studies, University of Sussex, Brighton and Hove, UK
| | | | - Francesca Larosa
- Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Jason K W Lee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | | | - Rachel Lowe
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
| | | | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Autonomous University of Barcelona, Bellaterra, Spain
| | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Environmental Studies Program, Denison University, Granville, OH, USA
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Zhifu Mi
- Bartlett School of Sustainable Construction, University College London, London, UK
| | - James Milner
- Department of Public Health Environments and Society, London School of Hygiene and Tropical Medicine, London, UK
| | - Kelton Minor
- Data Science Institute, Columbia University, New York, NY, USA
| | - Jan C Minx
- Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Nahid Mohajeri
- Bartlett School of Sustainable Construction, University College London, London, UK
| | - Natalie C Momen
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- Department of Technology Management and Economics, Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Kris A Murray
- Medical Research Council Unit The Gambia, London School of Hygiene and Tropical Medicine, London, UK
| | - Tara Neville
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | - Maria Nilsson
- Department for Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | | | - Megan B O'Hare
- Institute for Global Health, University College London, London, UK
| | - Camile Oliveira
- Institute for Global Health, University College London, London, UK
| | | | - Matthias Otto
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Tehran, Iran
| | - Olivia Pearman
- Center for Science and Technology Policy, University of Colorado Boulder, Boulder, CO, USA
| | - Frank Pega
- Department of Environment, Climate Change and Health, World Health Organisation, Geneva, Switzerland
| | | | | | - Jamie Rickman
- Institute for Sustainable Resources, University College London, London, UK
| | - Elizabeth J Z Robinson
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London, UK
| | - Joacim Rocklöv
- Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
| | - Renee N Salas
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Jan C Semenza
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jodi D Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | | | - Grant Silbert
- Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Marco Springmann
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Meisam Tabatabaei
- Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | | | - Cathryn Tonne
- Barcelona Institute for Global Health, Barcelona, Spain
| | - Marina Treskova
- Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany
| | - Joaquin A Trinanes
- Department of Electronics and Computer Science, University of Santiago de Compostela, Santiago, Spain
| | - Fabian Wagner
- International Institute for Applied Systems Analysis Energy, Climate, and Environment Program, Laxenburg, Austria
| | - Laura Warnecke
- International Institute for Applied Systems Analysis Energy, Climate, and Environment Program, Laxenburg, Austria
| | - Hannah Whitcombe
- Institute for Global Health, University College London, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Arthur Wyns
- Melbourne Climate Futures, The University of Melbourne, Melbourne, VIC, Australia
| | - Marisol Yglesias-González
- Centro Latinoamericano de Excelencia en Cambio Climatico y Salud, Cayetano Heredia Pervuvian University, Lima, Peru
| | - Shihui Zhang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Ying Zhang
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Qiao Zhu
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA
| | - Peng Gong
- Department of Geography, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hugh Montgomery
- Department of Experimental and Translational Medicine and Division of Medicine, University College London, London, UK
| | - Anthony Costello
- Institute for Global Health, University College London, London, UK
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Semenza JC, Ko AI. Waterborne Diseases That Are Sensitive to Climate Variability and Climate Change. N Engl J Med 2023; 389:2175-2187. [PMID: 38055254 DOI: 10.1056/nejmra2300794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Affiliation(s)
- Jan C Semenza
- From the Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany (J.C.S.); the Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden (J.C.S.); the Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT (A.I.K.); and Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil (A.I.K.)
| | - Albert I Ko
- From the Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany (J.C.S.); the Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden (J.C.S.); the Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT (A.I.K.); and Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil (A.I.K.)
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5
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Lim AY, Jafari Y, Caldwell JM, Clapham HE, Gaythorpe KAM, Hussain-Alkhateeb L, Johansson MA, Kraemer MUG, Maude RJ, McCormack CP, Messina JP, Mordecai EA, Rabe IB, Reiner RC, Ryan SJ, Salje H, Semenza JC, Rojas DP, Brady OJ. A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk. BMC Infect Dis 2023; 23:708. [PMID: 37864153 PMCID: PMC10588093 DOI: 10.1186/s12879-023-08717-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/16/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND Aedes (Stegomyia)-borne diseases are an expanding global threat, but gaps in surveillance make comprehensive and comparable risk assessments challenging. Geostatistical models combine data from multiple locations and use links with environmental and socioeconomic factors to make predictive risk maps. Here we systematically review past approaches to map risk for different Aedes-borne arboviruses from local to global scales, identifying differences and similarities in the data types, covariates, and modelling approaches used. METHODS We searched on-line databases for predictive risk mapping studies for dengue, Zika, chikungunya, and yellow fever with no geographical or date restrictions. We included studies that needed to parameterise or fit their model to real-world epidemiological data and make predictions to new spatial locations of some measure of population-level risk of viral transmission (e.g. incidence, occurrence, suitability, etc.). RESULTS We found a growing number of arbovirus risk mapping studies across all endemic regions and arboviral diseases, with a total of 176 papers published 2002-2022 with the largest increases shortly following major epidemics. Three dominant use cases emerged: (i) global maps to identify limits of transmission, estimate burden and assess impacts of future global change, (ii) regional models used to predict the spread of major epidemics between countries and (iii) national and sub-national models that use local datasets to better understand transmission dynamics to improve outbreak detection and response. Temperature and rainfall were the most popular choice of covariates (included in 50% and 40% of studies respectively) but variables such as human mobility are increasingly being included. Surprisingly, few studies (22%, 31/144) robustly tested combinations of covariates from different domains (e.g. climatic, sociodemographic, ecological, etc.) and only 49% of studies assessed predictive performance via out-of-sample validation procedures. CONCLUSIONS Here we show that approaches to map risk for different arboviruses have diversified in response to changing use cases, epidemiology and data availability. We identify key differences in mapping approaches between different arboviral diseases, discuss future research needs and outline specific recommendations for future arbovirus mapping.
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Affiliation(s)
- Ah-Young Lim
- Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
- Centre for Mathematical Modelling of Infectious Diseases, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
| | - Yalda Jafari
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jamie M Caldwell
- High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
| | - Hannah E Clapham
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Katy A M Gaythorpe
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Laith Hussain-Alkhateeb
- School of Public Health and Community Medicine, Sahlgrenska Academy, Institute of Medicine, Global Health, University of Gothenburg, Gothenburg, Sweden
- Population Health Research Section, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Michael A Johansson
- Dengue Branch, Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, USA
| | | | - Richard J Maude
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Clare P McCormack
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Jane P Messina
- School of Geography and the Environment, University of Oxford, Oxford, UK
- Oxford School of Global and Area Studies, University of Oxford, Oxford, UK
| | - Erin A Mordecai
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Ingrid B Rabe
- Department of Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland
| | - Robert C Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Sadie J Ryan
- Department of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Jan C Semenza
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Diana P Rojas
- Department of Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland
| | - Oliver J Brady
- Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
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6
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Rocklöv J, Semenza JC, Dasgupta S, Robinson EJ, Abd El Wahed A, Alcayna T, Arnés-Sanz C, Bailey M, Bärnighausen T, Bartumeus F, Borrell C, Bouwer LM, Bretonnière PA, Bunker A, Chavardes C, van Daalen KR, Encarnação J, González-Reviriego N, Guo J, Johnson K, Koopmans MP, Máñez Costa M, Michaelakis A, Montalvo T, Omazic A, Palmer JR, Preet R, Romanello M, Shafiul Alam M, Sikkema RS, Terrado M, Treskova M, Urquiza D, Lowe R. Decision-support tools to build climate resilience against emerging infectious diseases in Europe and beyond. Lancet Reg Health Eur 2023; 32:100701. [PMID: 37583927 PMCID: PMC10424206 DOI: 10.1016/j.lanepe.2023.100701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/17/2023]
Abstract
Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health-Climate Risk framework.
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Affiliation(s)
- Joacim Rocklöv
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jan C. Semenza
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Shouro Dasgupta
- Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy
- Graham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, United Kingdom
| | - Elizabeth J.Z. Robinson
- Graham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, United Kingdom
| | - Ahmed Abd El Wahed
- Faculty of Veterinary Medicine, Institute of Animal Hygiene and Veterinary Public Health, Leipzig University, Leipzig, Germany
| | - Tilly Alcayna
- Red Cross Red Crescent Centre on Climate Change and Disaster Preparedness, The Hague, the Netherlands
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Health in Humanitarian Crises Centre, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
| | - Cristina Arnés-Sanz
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Meghan Bailey
- Red Cross Red Crescent Centre on Climate Change and Disaster Preparedness, The Hague, the Netherlands
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frederic Bartumeus
- Theoretical and Computational Ecology Group, Centre d’Estudis Avançats de Blanes (CEAB-CSIC), Blanes, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Barcelona, Spain
| | - Carme Borrell
- Pest Surveillance and Control, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Biomedical Research Center Network for Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Laurens M. Bouwer
- Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany
| | | | - Aditi Bunker
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Center for Climate, Health and the Global Environment, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Kim R. van Daalen
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Junwen Guo
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Katie Johnson
- Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy
| | - Marion P.G. Koopmans
- Department of Viroscience, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - María Máñez Costa
- Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany
| | - Antonios Michaelakis
- Laboratory of Insects & Parasites of Medical Importance, Benaki Phytopathological Institute (BPI), Attica, Greece
| | - Tomás Montalvo
- Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Anna Omazic
- Department of Chemistry, Environment, and Feed Hygiene, National Veterinary Institute (SVA), Uppsala, Sweden
| | - John R.B. Palmer
- Department of Political and Social Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Raman Preet
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Marina Romanello
- Institute for Global Health, University College London (UCL), London, United Kingdom
| | - Mohammad Shafiul Alam
- Infectious Disease Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Reina S. Sikkema
- Department of Viroscience, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Marta Terrado
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Marina Treskova
- Heidelberg Institute of Global Health (HIGH) & Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Diana Urquiza
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Rachel Lowe
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
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7
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Farooq Z, Sjödin H, Semenza JC, Tozan Y, Sewe MO, Wallin J, Rocklöv J. European projections of West Nile virus transmission under climate change scenarios. One Health 2023. [DOI: 10.1016/j.onehlt.2023.100509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023] Open
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8
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Vardavas CI, Mathioudakis AG, Nikitara K, Stamatelopoulos K, Georgiopoulos G, Phalkey R, Leonardi-Bee J, Fernandez E, Carnicer-Pont D, Vestbo J, Semenza JC, Deogan C, Suk JE, Kramarz P, Lamb F, Penttinen P. Prognostic factors for mortality, intensive care unit and hospital admission due to SARS-CoV-2: a systematic review and meta-analysis of cohort studies in Europe. Eur Respir Rev 2022; 31:220098. [PMID: 36323422 PMCID: PMC9724816 DOI: 10.1183/16000617.0098-2022] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 08/03/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND As mortality from coronavirus disease 2019 (COVID-19) is strongly age-dependent, we aimed to identify population subgroups at an elevated risk for adverse outcomes from COVID-19 using age-/gender-adjusted data from European cohort studies with the aim to identify populations that could potentially benefit from booster vaccinations. METHODS We performed a systematic literature review and meta-analysis to investigate the role of underlying medical conditions as prognostic factors for adverse outcomes due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including death, hospitalisation, intensive care unit (ICU) admission and mechanical ventilation within three separate settings (community, hospital and ICU). Cohort studies that reported at least age and gender-adjusted data from Europe were identified through a search of peer-reviewed articles published until 11 June 2021 in Ovid Medline and Embase. Results are presented as odds ratios with 95% confidence intervals and absolute risk differences in deaths per 1000 COVID-19 patients. FINDINGS We included 88 cohort studies with age-/gender-adjusted data from 6 653 207 SARS-CoV-2 patients from Europe. Hospital-based mortality was associated with high and moderate certainty evidence for solid organ tumours, diabetes mellitus, renal disease, arrhythmia, ischemic heart disease, liver disease and obesity, while a higher risk, albeit with low certainty, was noted for chronic obstructive pulmonary disease and heart failure. Community-based mortality was associated with a history of heart failure, stroke, diabetes and end-stage renal disease. Evidence of high/moderate certainty revealed a strong association between hospitalisation for COVID-19 and solid organ transplant recipients, sleep apnoea, diabetes, stroke and liver disease. INTERPRETATION The results confirmed the strong association between specific prognostic factors and mortality and hospital admission. Prioritisation of booster vaccinations and the implementation of nonpharmaceutical protective measures for these populations may contribute to a reduction in COVID-19 mortality, ICU and hospital admissions.
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Affiliation(s)
- Constantine I Vardavas
- School of Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Harvard University, Boston, MA, USA
| | - Alexander G Mathioudakis
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
- North West Lung Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Kimon Stamatelopoulos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Georgiopoulos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Revati Phalkey
- Centre for Evidence Based Healthcare, Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Jo Leonardi-Bee
- Centre for Evidence Based Healthcare, Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK
| | | | - Dolors Carnicer-Pont
- Catalan Institute of Oncology, Barcelona, Spain
- Institut d'Investigació Biomèdica de Bellvithe (IDIBELL), Barcelona, Spain
| | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
- North West Lung Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Jan C Semenza
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Charlotte Deogan
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Jonathan E Suk
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Piotr Kramarz
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Favelle Lamb
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Pasi Penttinen
- European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
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9
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Romanello M, Di Napoli C, Drummond P, Green C, Kennard H, Lampard P, Scamman D, Arnell N, Ayeb-Karlsson S, Ford LB, Belesova K, Bowen K, Cai W, Callaghan M, Campbell-Lendrum D, Chambers J, van Daalen KR, Dalin C, Dasandi N, Dasgupta S, Davies M, Dominguez-Salas P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Escobar LE, Georgeson L, Graham H, Gunther SH, Hamilton I, Hang Y, Hänninen R, Hartinger S, He K, Hess JJ, Hsu SC, Jankin S, Jamart L, Jay O, Kelman I, Kiesewetter G, Kinney P, Kjellstrom T, Kniveton D, Lee JKW, Lemke B, Liu Y, Liu Z, Lott M, Batista ML, Lowe R, MacGuire F, Sewe MO, Martinez-Urtaza J, Maslin M, McAllister L, McGushin A, McMichael C, Mi Z, Milner J, Minor K, Minx JC, Mohajeri N, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Obradovich N, O'Hare MB, Oreszczyn T, Otto M, Owfi F, Pearman O, Rabbaniha M, Robinson EJZ, Rocklöv J, Salas RN, Semenza JC, Sherman JD, Shi L, Shumake-Guillemot J, Silbert G, Sofiev M, Springmann M, Stowell J, Tabatabaei M, Taylor J, Triñanes J, Wagner F, Wilkinson P, Winning M, Yglesias-González M, Zhang S, Gong P, Montgomery H, Costello A. The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels. Lancet 2022; 400:1619-1654. [PMID: 36306815 DOI: 10.1016/s0140-6736(22)01540-9] [Citation(s) in RCA: 280] [Impact Index Per Article: 140.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/04/2022] [Accepted: 08/04/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Marina Romanello
- Institute for Global Health, University College London, London, UK.
| | - Claudia Di Napoli
- School of Agriculture Policy and Development, University of Reading, Reading, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Carole Green
- Department of Global Health, Centre for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Harry Kennard
- UCL Energy Institute, University College London, London, UK
| | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | - Daniel Scamman
- Institute for Sustainable Resources, University College London, London, UK
| | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | - Sonja Ayeb-Karlsson
- Institute for Risk and Disaster Reduction, University College London, London, UK
| | | | - Kristine Belesova
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Kathryn Bowen
- School of Population Health, University of Melbourne, Melbourne, VIC, Australia
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Max Callaghan
- Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Diarmid Campbell-Lendrum
- Department of Environment, Climate Change, and Health, World Health Organization, Geneva, Switzerland
| | - Jonathan Chambers
- Institute of Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Kim R van Daalen
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, UK
| | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Economic Analysis of Climate Impacts and Policy Division, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Venice, Italy
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | | | - Robert Dubrow
- Department of Environmental Health Sciences and Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, Centre for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Matthew Eckelman
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Samuel H Gunther
- NUS Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Ian Hamilton
- UCL Energy Institute, University College London, London, UK
| | - Yun Hang
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Stella Hartinger
- Facultad de Salud Publica y Administracion, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Kehan He
- Bartlett Faculty of the Built Environment, University College London, London, UK
| | - Jeremy J Hess
- Department of Global Health, Centre for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Shih-Che Hsu
- UCL Energy Institute, University College London, London, UK
| | - Slava Jankin
- Data Science Lab, Hertie School, Berlin, Germany
| | | | - Ollie Jay
- Heat and Health Research Incubator, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | | | - Patrick Kinney
- Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA
| | - Tord Kjellstrom
- Health and Environmental International Trust, Nelson, New Zealand
| | | | - Jason K W Lee
- NUS Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Martin Lotto Batista
- Barcelona Supercomputing Center, Centro Nacional de Supercomputacion, Barcelona, Spain
| | - Rachel Lowe
- Catalan Institution for Research and Advanced Studies and Barcelona Supercomputing Center, Barcelona, Spain
| | - Frances MacGuire
- Institute for Global Health, University College London, London, UK
| | - Maquins Odhiambo Sewe
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | | | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Center for Energy Markets, Technical University of Munich, Munich, Germany
| | - Alice McGushin
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Zhifu Mi
- Barlett School of Sustainable Construction, University of London, London, UK
| | - James Milner
- Department of Public Health, Environment, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Kelton Minor
- Copenhagen Center for Social Data Science, University of Copenhagen, Copenhagen, Denmark
| | - Jan C Minx
- Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Nahid Mohajeri
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Maziar Moradi-Lakeh
- Preventative Medicine and Public Health Research Centre, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- Department of Technology, Management and Economics Sustainability, Technical University of Denmark, Lyngby, Denmark
| | | | - Kris A Murray
- MRC Unit The Gambia at LSHTM, London School of Hygiene & Tropical Medicine, London, UK
| | - Tara Neville
- Department of Environment, Climate Change, and Health, World Health Organization, Geneva, Switzerland
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Nick Obradovich
- Centre for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | - Megan B O'Hare
- Institute for Global Health, University College London, London, UK
| | - Tadj Oreszczyn
- UCL Energy Institute, University College London, London, UK
| | - Matthias Otto
- Department of Arts, Media, and Digital Technologies, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Cooperative Institute of Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
| | - Mahnaz Rabbaniha
- Iranian Fisheries Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth J Z Robinson
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London, UK
| | - Joacim Rocklöv
- Heidelberg Institute for Global Health and Interdisciplinary Centre forScientific Computing, University of Heidelberg, Heidelberg, Germany
| | - Renee N Salas
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Jan C Semenza
- Heidelberg Institute for Global Health and Interdisciplinary Centre forScientific Computing, University of Heidelberg, Heidelberg, Germany
| | - Jodi D Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | - Liuhua Shi
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Grant Silbert
- Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
| | | | - Marco Springmann
- Environmental Change Institute, University of Oxford, Oxford, UK
| | - Jennifer Stowell
- Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA
| | - Meisam Tabatabaei
- Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Joaquin Triñanes
- Department of Electronics and Computer Science, Universidade de Santiago de Compostela, Santiago, Spain
| | - Fabian Wagner
- Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Paul Wilkinson
- Department of Public Health, Environment, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Marisol Yglesias-González
- Centro Latinoamericano de Excelencia en Cambio Climático y Salud, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Shihui Zhang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Peng Gong
- Department of Geography, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hugh Montgomery
- Centre for Human Health and Performance, University College London, London, UK
| | - Anthony Costello
- Institute for Global Health, University College London, London, UK
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10
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van Daalen KR, Romanello M, Rocklöv J, Semenza JC, Tonne C, Markandya A, Dasandi N, Jankin S, Achebak H, Ballester J, Bechara H, Callaghan MW, Chambers J, Dasgupta S, Drummond P, Farooq Z, Gasparyan O, Gonzalez-Reviriego N, Hamilton I, Hänninen R, Kazmierczak A, Kendrovski V, Kennard H, Kiesewetter G, Lloyd SJ, Lotto Batista M, Martinez-Urtaza J, Milà C, Minx JC, Nieuwenhuijsen M, Palamarchuk J, Quijal-Zamorano M, Robinson EJZ, Scamman D, Schmoll O, Sewe MO, Sjödin H, Sofiev M, Solaraju-Murali B, Springmann M, Triñanes J, Anto JM, Nilsson M, Lowe R. The 2022 Europe report of the Lancet Countdown on health and climate change: towards a climate resilient future. Lancet Public Health 2022; 7:e942-e965. [PMID: 36306805 PMCID: PMC9597587 DOI: 10.1016/s2468-2667(22)00197-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/22/2022] [Accepted: 07/27/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Kim R van Daalen
- Institute for Global Health, University College London, London, UK; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Cambridge University, Cambridge, UK
| | - Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Joacim Rocklöv
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany; Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jan C Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | | | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Slava Jankin
- Data Science Lab, Hertie School, Berlin, Germany
| | - Hicham Achebak
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Joan Ballester
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | | | - Max W Callaghan
- Priestley International Centre for Climate, University of Leeds, Leeds, UK; Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
| | - Jonathan Chambers
- Energy Efficiency Group, Institute for Environmental Sciences (ISE), University of Geneva, Switzerland
| | - Shouro Dasgupta
- Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy; Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Sciences (LSE), UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Zia Farooq
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | | | - Ian Hamilton
- Energy Institute, University College London, London, UK
| | - Risto Hänninen
- Finnish Meteorological Institute (FMI), Helsinki, Finland
| | | | - Vladimir Kendrovski
- European Centre for Environment and Health, WHO Regional Office for Europe, Bonn, Germany
| | - Harry Kennard
- Energy Institute, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Simon J Lloyd
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Martin Lotto Batista
- Barcelona Supercomputing Center (BSC), Barcelona, Spain; Helmholtz Centre for Infection Research, Department of Epidemiology, Brunswick, Germany
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Carles Milà
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Jan C Minx
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | | | - Marcos Quijal-Zamorano
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Elizabeth J Z Robinson
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Sciences (LSE), UK
| | - Daniel Scamman
- Institute for Sustainable Resources, University College London, London, UK
| | - Oliver Schmoll
- European Centre for Environment and Health, WHO Regional Office for Europe, Bonn, Germany
| | | | - Henrik Sjödin
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Mikhail Sofiev
- Finnish Meteorological Institute (FMI), Helsinki, Finland
| | | | - Marco Springmann
- Oxford Martin Programme on the Future of Food and Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Joaquin Triñanes
- Department of Electronics and Computer Science, Universidade de Santiago de Compostela, Santiago, Spain
| | - Josep M Anto
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Rachel Lowe
- Barcelona Supercomputing Center (BSC), Barcelona, Spain; Centre for Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine (LSHTM), London, UK; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
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11
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Semenza JC. Invited Perspective: Vibriosis-The Price Tag of a Warmer World. Environ Health Perspect 2022; 130:81305. [PMID: 35983961 PMCID: PMC9389639 DOI: 10.1289/ehp11070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 07/09/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Jan C. Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
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Abstract
Climate change is adversely affecting the burden of infectious disease throughout the world, which is a health security threat. Climate-sensitive infectious disease includes vector-borne diseases such as malaria, whose transmission potential is expected to increase because of enhanced climatic suitability for the mosquito vector in Asia, sub-Saharan Africa, and South America. Climatic suitability for the mosquitoes that can carry dengue, Zika, and chikungunya is also likely to increase, facilitating further increases in the geographic range and longer transmission seasons, and raising concern for expansion of these diseases into temperate zones, particularly under higher greenhouse gas emission scenarios. Early spring temperatures in 2018 seem to have contributed to the early onset and extensive West Nile virus outbreak in Europe, a pathogen expected to expand further beyond its current distribution, due to a warming climate. As for tick-borne diseases, climate change is projected to continue to contribute to the spread of Lyme disease and tick-borne encephalitis, particularly in North America and Europe. Schistosomiasis is a water-borne disease and public health concern in Africa, Latin America, the Middle East, and Southeast Asia; climate change is anticipated to change its distribution, with both expansions and contractions expected. Other water-borne diseases that cause diarrheal diseases have declined significantly over the last decades owing to socioeconomic development and public health measures but changes in climate can reverse some of these positive developments. Weather and climate events, population movement, land use changes, urbanization, global trade, and other drivers can catalyze a succession of secondary events that can lead to a range of health impacts, including infectious disease outbreaks. These cascading risk pathways of causally connected events can result in large-scale outbreaks and affect society at large. We review climatic and other cascading drivers of infectious disease with projections under different climate change scenarios. Supplementary file1 (MP4 328467 KB).
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Affiliation(s)
- Jan C Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, 69120, Heidelberg, Germany.
| | - Joacim Rocklöv
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 901 87, Umeå, Sweden
- Heidelberg Institute of Global Health (HIGH), Interdisciplinary Centre for Scientific Computing (IWR), Heidelberg University, Im Neuenheimer Feld 205, 69120, Heidelberg, Germany
| | - Kristie L Ebi
- Center for Health and the Global Environment (CHanGE), University of Washington, Seattle, WA, 98195, USA
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13
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Farooq Z, Rocklöv J, Wallin J, Abiri N, Sewe MO, Sjödin H, Semenza JC. Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers. Lancet Reg Health Eur 2022; 17:100370. [PMID: 35373173 PMCID: PMC8971633 DOI: 10.1016/j.lanepe.2022.100370] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Background In Europe, the frequency, intensity, and geographic range of West Nile virus (WNV)-outbreaks have increased over the past decade, with a 7.2-fold increase in 2018 compared to 2017, and a markedly expanded geographic area compared to 2010. The reasons for this increase and range expansion remain largely unknown due to the complexity of the transmission pathways and underlying disease drivers. In a first, we use advanced artificial intelligence to disentangle the contribution of eco-climatic drivers to WNV-outbreaks across Europe using decade-long (2010-2019) data at high spatial resolution. Methods We use a high-performance machine learning classifier, XGBoost (eXtreme gradient boosting) combined with state-of-the-art XAI (eXplainable artificial intelligence) methodology to describe the predictive ability and contribution of different drivers of the emergence and transmission of WNV-outbreaks in Europe, respectively. Findings Our model, trained on 2010-2017 data achieved an AUC (area under the receiver operating characteristic curve) score of 0.97 and 0.93 when tested with 2018 and 2019 data, respectively, showing a high discriminatory power to classify a WNV-endemic area. Overall, positive summer/spring temperatures anomalies, lower water availability index (NDWI), and drier winter conditions were found to be the main determinants of WNV-outbreaks across Europe. The climate trends of the preceding year in combination with eco-climatic predictors of the first half of the year provided a robust predictive ability of the entire transmission season ahead of time. For the extraordinary 2018 outbreak year, relatively higher spring temperatures and the abundance of Culex mosquitoes were the strongest predictors, in addition to past climatic trends. Interpretation Our AI-based framework can be deployed to trigger rapid and timely alerts for active surveillance and vector control measures in order to intercept an imminent WNV-outbreak in Europe. Funding The work was partially funded by the Swedish Research Council FORMAS for the project ARBOPREVENT (grant agreement 2018-05973).
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14
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Di Napoli C, McGushin A, Romanello M, Ayeb-Karlsson S, Cai W, Chambers J, Dasgupta S, Escobar LE, Kelman I, Kjellstrom T, Kniveton D, Liu Y, Liu Z, Lowe R, Martinez-Urtaza J, McMichael C, Moradi-Lakeh M, Murray KA, Rabbaniha M, Semenza JC, Shi L, Tabatabaei M, Trinanes JA, Vu BN, Brimicombe C, Robinson EJ. Tracking the impacts of climate change on human health via indicators: lessons from the Lancet Countdown. BMC Public Health 2022; 22:663. [PMID: 35387618 PMCID: PMC8985369 DOI: 10.1186/s12889-022-13055-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 03/22/2022] [Indexed: 03/13/2023] Open
Abstract
BACKGROUND In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the "Lancet Countdown: Tracking Progress on Health and Climate Change", an international collaboration across disciplines that include climate, geography, epidemiology, occupation health, and economics. DISCUSSION This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change's impacts on human health. In our experience, the main challenge was to define globally relevant indicators that also have local relevance and as such can support decision making across multiple spatial scales. We found a hazard, exposure, and vulnerability framework to be effective in this regard. We here describe how we used such a framework to define CCIEVIs based on both data availability and the indicators' relevance to climate change and human health. We also report on how CCIEVIs have been improved and added to, detailing the underlying data and methods, and in doing so provide the defining quality criteria for Lancet Countdown CCIEVIs. CONCLUSIONS Our experience shows that CCIEVIs can effectively contribute to a world-wide monitoring system that aims to track, communicate, and harness evidence on climate-induced health impacts towards effective intervention strategies. An ongoing challenge is how to improve CCIEVIs so that the description of the linkages between climate change and human health can become more and more comprehensive.
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Affiliation(s)
- Claudia Di Napoli
- School of Agriculture, Policy and Development, University of Reading, Reading, UK. .,Department of Geography and Environmental Science, University of Reading, Reading, UK.
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Sonja Ayeb-Karlsson
- Institute for Risk and Disaster Reduction, University College London, London, UK.,School of Global Studies, University of Sussex, Brighton Falmer, UK.,United Nations University, Institute for Environment and Human Security, Bonn, Germany
| | - Wenjia Cai
- Ministry of Education Key Laboratory for Earth System modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Jonathan Chambers
- Institute for Environmental Science, University of Geneva, Geneva, Switzerland
| | - Shouro Dasgupta
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, UK.,Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Venice, Italy.,Università Ca' Foscari, Venice, Italy
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK.,Institute for Risk and Disaster Reduction, University College London, London, UK.,University of Agder, Kristiansand, Norway
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | - Dominic Kniveton
- School of Global Studies, University of Sussex, Brighton Falmer, UK
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Zhao Liu
- Ministry of Education Key Laboratory for Earth System modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Rachel Lowe
- Barcelona Supercomputing Center, Barcelona, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.,Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Australia
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Kris A Murray
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.,MRC Unit The Gambia At London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Jan C Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Liuhua Shi
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Meisam Tabatabaei
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.,Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
| | - Joaquin A Trinanes
- Department of Electronics and Computer Science, Universidade de Santiago de Compostela, Santiago, Spain
| | - Bryan N Vu
- Rollins School of Public Health, Emory University, Atlanta, USA
| | - Chloe Brimicombe
- Department of Geography and Environmental Science, University of Reading, Reading, UK
| | - Elizabeth J Robinson
- Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London, UK
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15
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Mendez-Lopez A, Stuckler D, McKee M, Semenza JC, Lazarus JV. The mental health crisis during the COVID-19 pandemic in older adults and the role of physical distancing interventions and social protection measures in 26 European countries. SSM Popul Health 2022; 17:101017. [PMID: 34977323 PMCID: PMC8713431 DOI: 10.1016/j.ssmph.2021.101017] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 12/23/2021] [Accepted: 12/23/2021] [Indexed: 12/23/2022] Open
Abstract
Background The COVID-19 pandemic and associated policy responses, such as physical distancing interventions, pose risks to mental health that could be mitigated by social support systems. We examine associations between changes in mental health in the population aged 50 years and older in Europe and stringency of pandemic responses and social protection. Methods We analysed data from the Survey of Health, Ageing and Retirement in Europe: n = 50,278 individuals aged 50 years and older in 26 European countries between June and August 2020. Linear multivariable regression models were used to evaluate potential risk factors for deterioration in self-reported mental health and investigate whether social protection systems mitigate it. Results Across the European Union, 28.1% (95% CI:27.1–29.2) of participants reported worsening mental health since the beginning of the pandemic, ranging from 16.1% in Slovakia to 54.8% in Portugal. Factors associated with increased risk of deterioration included: being female (12.7 percentage points (ppt), 95%CI:9.2–16.2); experiencing unmet healthcare needs during the pandemic (14.6 ppt, 95%CI:11.2–18.1); job loss during the pandemic (6.2 ppt, 95%CI:1.1–11.8); and financial hardship (5.1 ppt, 95%CI:2.9–7.2). Greater stringency of physical distancing measures in countries was associated with worsening mental health (0.2 ppt per each one point increase on a stringency index, 95% CI:0.09–0.4); however, country-level pre-pandemic expenditures on various social protection packages was associated with decreased probability of worsening mental health (−1.3 ppt, 95%CI: 0.3 to −2.3 per €1,000 increase in health care expenditures per capita and, among the unemployed, −3.8 ppt, 95%CI: 1.6 to −2.4 per €100 increase in unemployment expenditure per capita). Conclusions The COVID-19 pandemic has been associated with substantial mental health deterioration exhibiting social inequalities. Adverse mental health has been exacerbated by policy responses to the pandemic regulating physical distancing, but social protection expenditure might have helped mitigate the impact. Strengthening social protection systems might render the mental health of the population more resilient to the consequences of crises such as the COVID-19 pandemic. Multi-country study on mental health in the population aged 50 years and older in Europe during the COVID-19 pandemic. Mental health decline among older adults varies by socioeconomic group. More stringent physical distancing increases mental health decline in older adults. Stronger social protection might have mitigated risk of worse mental health in older adults.
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Affiliation(s)
- Ana Mendez-Lopez
- Department of Preventive Medicine, Public Health and Microbiology, School of Medicine, Autonomous University of Madrid, Madrid, Spain
| | - David Stuckler
- Dondena Centre for Research on Social Dynamics and Public Policy and Department of Social & Political Sciences, Bocconi University, Milan, Italy
| | - Martin McKee
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jan C Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Germany
| | - Jeffrey V Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
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16
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Romanello M, McGushin A, Di Napoli C, Drummond P, Hughes N, Jamart L, Kennard H, Lampard P, Solano Rodriguez B, Arnell N, Ayeb-Karlsson S, Belesova K, Cai W, Campbell-Lendrum D, Capstick S, Chambers J, Chu L, Ciampi L, Dalin C, Dasandi N, Dasgupta S, Davies M, Dominguez-Salas P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Escobar LE, Georgeson L, Grace D, Graham H, Gunther SH, Hartinger S, He K, Heaviside C, Hess J, Hsu SC, Jankin S, Jimenez MP, Kelman I, Kiesewetter G, Kinney PL, Kjellstrom T, Kniveton D, Lee JKW, Lemke B, Liu Y, Liu Z, Lott M, Lowe R, Martinez-Urtaza J, Maslin M, McAllister L, McMichael C, Mi Z, Milner J, Minor K, Mohajeri N, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Obradovich N, Sewe MO, Oreszczyn T, Otto M, Owfi F, Pearman O, Pencheon D, Rabbaniha M, Robinson E, Rocklöv J, Salas RN, Semenza JC, Sherman J, Shi L, Springmann M, Tabatabaei M, Taylor J, Trinanes J, Shumake-Guillemot J, Vu B, Wagner F, Wilkinson P, Winning M, Yglesias M, Zhang S, Gong P, Montgomery H, Costello A, Hamilton I. The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future. Lancet 2021; 398:1619-1662. [PMID: 34687662 DOI: 10.1016/s0140-6736(21)01787-6] [Citation(s) in RCA: 410] [Impact Index Per Article: 136.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/20/2021] [Accepted: 07/29/2021] [Indexed: 01/19/2023]
Affiliation(s)
- Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Claudia Di Napoli
- School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Nick Hughes
- Institute for Sustainable Resources, University College London, London, UK
| | - Louis Jamart
- Institute for Global Health, University College London, London, UK
| | - Harry Kennard
- UCL Energy Institute, University College London, London, UK
| | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | | | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | - Sonja Ayeb-Karlsson
- Institute for Environment and Human Security, United Nations University, Bonn, Germany
| | - Kristine Belesova
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Diarmid Campbell-Lendrum
- Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland
| | - Stuart Capstick
- Centre for Climate Change and Social Transformations, School of Psychology, Cardiff University, Cardiff, UK
| | - Jonathan Chambers
- Institute for Environmental Sciences, World Health Organization, Geneva, Switzerland
| | - Lingzhi Chu
- Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Luisa Ciampi
- The Walker Institute, University of Reading, Reading, UK
| | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Economic analysis of Climate Impacts and Policy, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Venice, Italy
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | | | - Robert Dubrow
- Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Matthew Eckelman
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | - Delia Grace
- Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya
| | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Samuel H Gunther
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Stella Hartinger
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Kehan He
- The Bartlett School of Sustainable Construction, University College London, London, UK
| | - Clare Heaviside
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Jeremy Hess
- Centre for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Shih-Che Hsu
- UCL Energy Institute, University College London, London, UK
| | - Slava Jankin
- Data Science Lab, Hertie School, Berlin, Germany
| | - Marcia P Jimenez
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Patrick L Kinney
- Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Jason K W Lee
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | - Rachel Lowe
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Center for Energy Markets, Technical University of Munich, Munich, Germany
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Zhifu Mi
- The Bartlett School of Sustainable Construction, University College London, London, UK
| | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Kelton Minor
- Copenhagen Center for Social Data Science, University of Copenhagen, Copenhagen, Denmark
| | - Nahid Mohajeri
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- Department of Technology, Management and Economics, Technical University of Denmark, Copenhagen, Denmark
| | | | - Kris A Murray
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, UK; MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Tara Neville
- Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Nick Obradovich
- Centre for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | - Maquins Odhiambo Sewe
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tadj Oreszczyn
- UCL Energy Institute, University College London, London, UK
| | - Matthias Otto
- Department of Arts, Media & Digital Technologies, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Cooperative Institute of Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
| | - David Pencheon
- College of Medicine and Health, Exeter University, Exeter, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Renee N Salas
- Harvard Medical School, Harvard University, Boston, MA, USA
| | | | - Jodi Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Meisam Tabatabaei
- Higher Institution Centre of Excellence, Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Joaquin Trinanes
- Department of Electronics and Computer Science, Universidade de Santiago de Compostela, Santiago, Spain
| | | | - Bryan Vu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Fabian Wagner
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Marisol Yglesias
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Shihui Zhang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Peng Gong
- Department of Geography, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hugh Montgomery
- Centre for Human Health and Performance, University College London, London, UK
| | - Anthony Costello
- Institute for Global Health, University College London, London, UK
| | - Ian Hamilton
- UCL Energy Institute, University College London, London, UK.
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Abstract
Europeans are not only exposed to direct effects from climate change, but also vulnerable to indirect effects from infectious disease, many of which are climate sensitive, which is of concern because of their epidemic potential. Climatic conditions have facilitated vector-borne disease outbreaks like chikungunya, dengue, and West Nile fever and have contributed to a geographic range expansion of tick vectors that transmit Lyme disease and tick-borne encephalitis. Extreme precipitation events have caused waterborne outbreaks and longer summer seasons have contributed to increases in foodborne diseases. Under the Green Deal, The European Union aims to support climate change health policy, in order to be better prepared for the next health security threat, particularly in the aftermath of the traumatic COVID-19 experience. To bolster this policy process we discuss climate change-related hazards, exposures and vulnerabilities to infectious disease and describe observed impacts, projected risks, with policy entry points for adaptation to reduce these risks or avoid them altogether.
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Affiliation(s)
- Jan C. Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Shlomit Paz
- Department of Geography and Environmental Studies, University of Haifa, Haifa, Israel
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18
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Affiliation(s)
- Jan C. Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, 69120 Heidelberg, Germany
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19
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Romanello M, van Daalen K, Anto JM, Dasandi N, Drummond P, Hamilton IG, Jankin S, Kendrovski V, Lowe R, Rocklöv J, Schmoll O, Semenza JC, Tonne C, Nilsson M. Tracking progress on health and climate change in Europe. Lancet Public Health 2021; 6:e858-e865. [PMID: 34562381 DOI: 10.1016/s2468-2667(21)00207-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 10/20/2022]
Abstract
Left unabated, climate change will have catastrophic effects on the health of present and future generations. Such effects are already seen in Europe, through more frequent and severe extreme weather events, alterations to water and food systems, and changes in the environmental suitability for infectious diseases. As one of the largest current and historical contributors to greenhouse gases and the largest provider of financing for climate change mitigation and adaptation, Europe's response is crucial, for both human health and the planet. To ensure that health and wellbeing are protected in this response it is essential to build the capacity to understand, monitor, and quantify health impacts of climate change and the health co-benefits of accelerated action. Responding to this need, the Lancet Countdown in Europe is established as a transdisciplinary research collaboration for monitoring progress on health and climate change in Europe. With the wealth of data and academic expertise available in Europe, the collaboration will develop region-specific indicators to address the main challenges and opportunities of Europe's response to climate change for health. The indicators produced by the collaboration will provide information to health and climate policy decision making, and will also contribute to the European Observatory on Climate and Health.
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Affiliation(s)
- Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Kim van Daalen
- Institute for Global Health, University College London, London, UK; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Cambridge University, Cambridge, UK
| | - Josep M Anto
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | | | - Slava Jankin
- Data Science Lab, Hertie School, Berlin, Germany
| | - Vladimir Kendrovski
- European Centre for Environment and Health, WHO Regional Office for Europe, Bonn, Germany
| | - Rachel Lowe
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Barcelona Supercomputing Center (BSC), Barcelona, Spain; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Oliver Schmoll
- European Centre for Environment and Health, WHO Regional Office for Europe, Bonn, Germany
| | - Jan C Semenza
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
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20
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Suk JE, Vaughan EC, Cook RG, Semenza JC. Natural disasters and infectious disease in Europe: a literature review to identify cascading risk pathways. Eur J Public Health 2021; 30:928-935. [PMID: 31169886 PMCID: PMC7536539 DOI: 10.1093/eurpub/ckz111] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Background Natural disasters are increasing in their frequency and complexity. Understanding how their cascading effects can lead to infectious disease outbreaks is important for developing cross-sectoral preparedness strategies. The review focussed on earthquakes and floods because of their importance in Europe and their potential to elucidate the pathways through which natural disasters can lead to infectious disease outbreaks. Methods A systematic literature review complemented by a call for evidence was conducted to identify earthquake or flooding events in Europe associated with potential infectious disease events. Results This review included 17 peer-reviewed papers that reported on suspected and confirmed infectious disease outbreaks following earthquakes (4 reports) or flooding (13 reports) in Europe. The majority of reports related to food- and water-borne disease. Eleven studies described the cascading effect of post-disaster outbreaks. The most reported driver of disease outbreaks was heavy rainfall, which led to cross-connections between water and other environmental systems, leading to the contamination of rivers, lakes, springs and water supplies. Exposure to contaminated surface water or floodwater following flooding, exposure to animal excreta and post-disaster living conditions were among other reported drivers of outbreaks. Conclusions The cascade effects of natural disasters, such as earthquakes and floods, include outbreaks of infectious disease. The projection that climate change-related extreme weather events will increase in Europe in the coming century highlights the importance of strengthening preparedness planning and measures to mitigate and control outbreaks in post-disaster settings.
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Affiliation(s)
- Jonathan E Suk
- European Centre for Disease Prevention and Control, Solna, Sweden
| | | | | | - Jan C Semenza
- European Centre for Disease Prevention and Control, Solna, Sweden
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21
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Beagley J, Belesova K, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Capstick S, Chambers J, Coleman S, Dalin C, Daly M, Dasandi N, Dasgupta S, Davies M, Di Napoli C, Dominguez-Salas P, Drummond P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Escobar LE, Georgeson L, Golder S, Grace D, Graham H, Haggar P, Hamilton I, Hartinger S, Hess J, Hsu SC, Hughes N, Jankin Mikhaylov S, Jimenez MP, Kelman I, Kennard H, Kiesewetter G, Kinney PL, Kjellstrom T, Kniveton D, Lampard P, Lemke B, Liu Y, Liu Z, Lott M, Lowe R, Martinez-Urtaza J, Maslin M, McAllister L, McGushin A, McMichael C, Milner J, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Sewe MO, Oreszczyn T, Otto M, Owfi F, Pearman O, Pencheon D, Quinn R, Rabbaniha M, Robinson E, Rocklöv J, Romanello M, Semenza JC, Sherman J, Shi L, Springmann M, Tabatabaei M, Taylor J, Triñanes J, Shumake-Guillemot J, Vu B, Wilkinson P, Winning M, Gong P, Montgomery H, Costello A. The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises. Lancet 2021; 397:129-170. [PMID: 33278353 DOI: 10.1016/s0140-6736(20)32290-x] [Citation(s) in RCA: 670] [Impact Index Per Article: 223.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 01/18/2023]
Abstract
For the Chinese, French, German, and Spanish translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Nick Watts
- Institute for Global Health, University College London, London, UK.
| | - Markus Amann
- Air Quality and Greenhouse Gases Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | - Sonja Ayeb-Karlsson
- Institute for Environment and Human Security, United Nations University, Bonn, Germany
| | - Jessica Beagley
- Institute for Global Health, University College London, London, UK
| | - Kristine Belesova
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Maxwell Boykoff
- Environmental Studies Program, University of Colorado Boulder, Boulder, CO, USA
| | - Peter Byass
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Diarmid Campbell-Lendrum
- Environment, Climate Change and Health Department, World Health Organization, Geneva, Switzerland
| | | | - Jonathan Chambers
- Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Samantha Coleman
- Institute for Global Health, University College London, London, UK
| | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Meaghan Daly
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Centro Euro-Mediterraneo sui Cambiamenti Climatici, Venice, Italy
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Claudia Di Napoli
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Paula Dominguez-Salas
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Robert Dubrow
- Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Matthew Eckelman
- Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | - Su Golder
- Department of Health Sciences, University of York, York, UK
| | - Delia Grace
- CGIAR Research Program on Agriculture for Human Nutrition and Health, International Livestock Research Institute, Nairobi, Kenya
| | - Hilary Graham
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Paul Haggar
- School of Psychology, Cardiff University, Cardiff, UK
| | - Ian Hamilton
- Energy Institute, University College London, London, UK
| | - Stella Hartinger
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Jeremy Hess
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Shih-Che Hsu
- Energy Institute, University College London, London, UK
| | - Nick Hughes
- Institute for Sustainable Resources, University College London, London, UK
| | | | - Marcia P Jimenez
- Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Harry Kennard
- Energy Institute, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Patrick L Kinney
- Department of Environmental Health, Boston University, Boston, MA, USA
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | - Rachel Lowe
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Center for Energy Markets, Technical University of Munich, Munich, Germany
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Celia McMichael
- School of Geography, University of Melbourne, Melbourne, VIC, Australia
| | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- European Centre for Environment and Human Health, University of Exeter, Exeter, UK
| | | | - Kris A Murray
- Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK; Medical Research Council Unit The Gambia at London School of Hygiene & Tropical Medicine, Bakau, The Gambia
| | - Tara Neville
- Environment, Climate Change and Health Department, World Health Organization, Geneva, Switzerland
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | | | | | - Matthias Otto
- Department of Arts, Media and Digital Technologies, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Environmental Studies Program, University of Colorado Boulder, Boulder, CO, USA
| | - David Pencheon
- Medical and Health School, University of Exeter, Exeter, UK
| | - Ruth Quinn
- Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control, Solna, Sweden
| | - Jodi Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Atlanta, GA, USA
| | | | - Meisam Tabatabaei
- Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Joaquin Triñanes
- Department of Electronics and Computer Science, CRETUS Institute, Universidade de Santiago de Compostela, Santiago, Spain
| | | | - Bryan Vu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Peng Gong
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Hugh Montgomery
- Institute for Human Health and Performance, University College London, London, UK
| | - Anthony Costello
- Office of the Vice Provost for Research, University College London, London, UK
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Abstract
Using infectious diseases sensitive to climate as indicators of climate change helps stimulate and inform public health responses, write Kris A Murray and colleagues
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Affiliation(s)
- Kris A Murray
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, London, UK
- Grantham Institute-Climate Change and the Environment, Imperial College, London, UK
- MRC Unit, London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, Banjul, the Gambia
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24061 USA
| | - Rachel Lowe
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Barcelona Institute for Global Health, Barcelona, Spain
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control, 169 73 Solna, Sweden
| | - Nick Watts
- Institute for Global Health, University College London, London W1T 4TJ, UK
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Vannoni M, McKee M, Semenza JC, Bonell C, Stuckler D. Using volunteered geographic information to assess mobility in the early phases of the COVID-19 pandemic: a cross-city time series analysis of 41 cities in 22 countries from March 2nd to 26th 2020. Global Health 2020; 16:85. [PMID: 32967691 PMCID: PMC7509494 DOI: 10.1186/s12992-020-00598-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 07/13/2020] [Indexed: 12/03/2022] Open
Abstract
Objectives Restricting mobility is a central aim for lowering contact rates and preventing COVID-19 transmission. Yet the impact on mobility of different non-pharmaceutical countermeasures in the earlier stages of the pandemic is not well-understood. Design Trends were evaluated using Citymapper’s mobility index covering 2nd to 26th March 2020, expressed as percentages of typical usage periods from 0% as the lowest and 100% as normal. China and India were not covered. Multivariate fixed effects models were used to estimate the association of policies restricting movement on mobility before and after their introduction. Policy restrictions were assessed using the Oxford COVID-19 Government Response Stringency Index as well as measures coding the timing and degree of school and workplace closures, transport restrictions, and cancellation of mass gatherings. Setting 41 cities worldwide. Main outcome measures Citymapper’s mobility index. Results Mobility declined in all major cities throughout March. Larger declines were seen in European than Asian cities. The COVID-19 Government Response Stringency Index was strongly associated with declines in mobility (r = − 0.75, p < 0.001). After adjusting for time-trends, we observed that implementing non-pharmaceutical countermeasures was associated with a decline of mobility of 10.0% for school closures (95% CI: 4.36 to 15.7%), 15.0% for workplace closures (95% CI: 10.2 to 19.8%), 7.09% for cancelling public events (95% CI: 1.98 to 12.2%), 18.0% for closing public transport (95% CI: 6.74 to 29.2%), 13.3% for restricting internal movements (95% CI: 8.85 to 17.8%) and 5.30% for international travel controls (95% CI: 1.69 to 8.90). In contrast, as expected, there was no association between population mobility changes and fiscal or monetary measures or emergency healthcare investment. Conclusions Understanding the effect of public policy on mobility in the early stages is crucial to slowing and reducing COVID-19 transmission. By using Citymapper’s mobility index, this work provides the first evidence about trends in mobility and the impacts of different policy interventions, suggesting that closure of public transport, workplaces and schools are particularly impactful.
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Affiliation(s)
- Matia Vannoni
- Department of Political Economy, King's College London, Bush House North East Wing, 30 Aldwych, London, WC2B 4BG, UK
| | - Martin McKee
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
| | - Jan C Semenza
- Dondena Centre for Research on Social Dynamics and Public Policy and Department of Social & Political Sciences, Bocconi University, Milan, Italy
| | - Chris Bonell
- European Centre for Disease Prevention and Control, Gustav III:s Boulevard 40, 169 73, Solna, Sweden
| | - David Stuckler
- Dondena Centre for Research on Social Dynamics and Public Policy and Department of Social & Political Sciences, Bocconi University, Milan, Italy.
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24
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Mendez-Lopez A, Stuckler D, Noori T, Semenza JC. Why is syphilis rising in Europe? Multi-level modelling of alternative hypotheses in 31 countries. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa165.534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Syphilis transmission has increased markedly over the past two decades in Europe, concentrated in men who have sex with men. We test alternative potential social and behavioral individual- and population-level determinants of this resurgence.
Methods
Two rounds of the cross-sectional European Men who have sex with men Internet Survey (EMIS 2010 and 2017, n = 272,902) were used to fit multi-level linear probability models to evaluate determinants of the incidence of self-reported syphilis, capturing risky sexual behaviours and pre-exposure prophylaxis use, among others, adjusting for potential sociodemographic confounders.
Results
Self-reported syphilis incidence rates rose by about 1.8 percentage points (within the last 12 months) and 3.9 (within the last 5 years) between the 2010 and 2017 waves, after adjusting for sociodemographic factors. HIV status was a major risk factor for syphilis infection (27.6 ppt higher incident rate, 95%CI: 24.7 to 30.5). A dose-response relationship was observed between greater numbers of condomless non-steady partners and syphilis infection, with more than 10 partners estimating increases in the probability of diagnosis of over 25 ppt (11-20 partners vs none: 24.5 ppt, 95%CI: 20.5 to 28.5); further, we observed evidence of mediation for number of condomless non-steady partners, which attenuated the estimated rise in 2017 vs 2010 by about 35%. STI testing uptake also accounted for a substantial increase in syphilis incidence signaling higher detection rates over time. While country-level PrEP use was linked to greater number of condomless partners, there was no substantial impact of population-wide factors, including GDP and PrEP use, on overall syphilis trends.
Conclusions
Risky sexual behavior changes, particularly condomless sex with non-steady partners, appears to be a major contributing factor to rising syphilis incidence. Further research is needed to understand what accounts for this substantial behavior change.
Key messages
Increased number of condomless non-steady partners accounts for a substantial rise in syphilis trends. Population-level PrEP use was linked to increasing numbers of condomless non-steady partners but had no substantial impact on overall syphilis trends.
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Affiliation(s)
- A Mendez-Lopez
- School of Medicine, Autonomous University of Madrid, Madrid, Spain
| | - D Stuckler
- Department of Social and Political Sciences, Bocconi University, Milan, Italy
| | - T Noori
- Health Determinants Programme, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - J C Semenza
- Health Determinants Programme, European Centre for Disease Prevention and Control, Stockholm, Sweden
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25
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Liu Y, Lillepold K, Semenza JC, Tozan Y, Quam MBM, Rocklöv J. Reviewing estimates of the basic reproduction number for dengue, Zika and chikungunya across global climate zones. Environ Res 2020; 182:109114. [PMID: 31927301 DOI: 10.1016/j.envres.2020.109114] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 01/01/2020] [Accepted: 01/02/2020] [Indexed: 05/14/2023]
Abstract
BACKGROUND Globally, dengue, Zika virus, and chikungunya are important viral mosquito-borne diseases that infect millions of people annually. Their geographic range includes not only tropical areas but also sub-tropical and temperate zones such as Japan and Italy. The relative severity of these arboviral disease outbreaks can vary depending on the setting. In this study we explore variation in the epidemiologic potential of outbreaks amongst these climatic zones and arboviruses in order to elucidate potential reasons behind such differences. METHODOLOGY We reviewed the peer-reviewed literature (PubMed) to obtain basic reproduction number (R0) estimates for dengue, Zika virus, and chikungunya from tropical, sub-tropical and temperate regions. We also computed R0 estimates for temperate and sub-tropical climate zones, based on the outbreak curves in the initial outbreak phase. Lastly we compared these estimates across climate zones, defined by latitude. RESULTS Of 2115 studies, we reviewed the full text of 128 studies and included 65 studies in our analysis. Our results suggest that the R0 of an arboviral outbreak depends on climate zone, with lower R0 estimates, on average, in temperate zones (R0 = 2.03) compared to tropical (R0 = 3.44) and sub-tropical zones (R0 = 10.29). The variation in R0 was considerable, ranging from 0.16 to 65. The largest R0 was for dengue (65) and was estimated by the Ross-Macdonald model in the tropical zone, whereas the smallest R0 (0.16) was for Zika virus and was estimated statistically from an outbreak curve in the sub-tropical zone. CONCLUSIONS The results indicate climate zone to be an important determinant of the basic reproduction number, R0, for dengue, Zika virus, and chikungunya. The role of other factors as determinants of R0, such as methods, environmental and social conditions, and disease control, should be further investigated. The results suggest that R0 may increase in temperate regions in response to global warming, and highlight the increasing need for strengthening preparedness and control activities.
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Affiliation(s)
- Ying Liu
- School of International Business, Xiamen University Tan Kah Kee College, Zhangzhou, 363105, China.
| | - Kate Lillepold
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Yesim Tozan
- New York University, College of Global Public Health, New York, NY, USA.
| | - Mikkel B M Quam
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
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26
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Rocklöv J, Tozan Y, Ramadona A, Sewe MO, Sudre B, Garrido J, de Saint Lary CB, Lohr W, Semenza JC. Using Big Data to Monitor the Introduction and Spread of Chikungunya, Europe, 2017. Emerg Infect Dis 2019; 25:1041-1049. [PMID: 31107221 PMCID: PMC6537727 DOI: 10.3201/eid2506.180138] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
With regard to fully harvesting the potential of big data, public health lags behind other fields. To determine this potential, we applied big data (air passenger volume from international areas with active chikungunya transmission, Twitter data, and vectorial capacity estimates of Aedes albopictus mosquitoes) to the 2017 chikungunya outbreaks in Europe to assess the risks for virus transmission, virus importation, and short-range dispersion from the outbreak foci. We found that indicators based on voluminous and velocious data can help identify virus dispersion from outbreak foci and that vector abundance and vectorial capacity estimates can provide information on local climate suitability for mosquitoborne outbreaks. In contrast, more established indicators based on Wikipedia and Google Trends search strings were less timely. We found that a combination of novel and disparate datasets can be used in real time to prevent and control emerging and reemerging infectious diseases.
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27
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Capstick S, Chambers J, Dalin C, Daly M, Dasandi N, Davies M, Drummond P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Escobar LE, Fernandez Montoya L, Georgeson L, Graham H, Haggar P, Hamilton I, Hartinger S, Hess J, Kelman I, Kiesewetter G, Kjellstrom T, Kniveton D, Lemke B, Liu Y, Lott M, Lowe R, Sewe MO, Martinez-Urtaza J, Maslin M, McAllister L, McGushin A, Jankin Mikhaylov S, Milner J, Moradi-Lakeh M, Morrissey K, Murray K, Munzert S, Nilsson M, Neville T, Oreszczyn T, Owfi F, Pearman O, Pencheon D, Phung D, Pye S, Quinn R, Rabbaniha M, Robinson E, Rocklöv J, Semenza JC, Sherman J, Shumake-Guillemot J, Tabatabaei M, Taylor J, Trinanes J, Wilkinson P, Costello A, Gong P, Montgomery H. The 2019 report of The Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate. Lancet 2019; 394:1836-1878. [PMID: 31733928 DOI: 10.1016/s0140-6736(19)32596-6] [Citation(s) in RCA: 548] [Impact Index Per Article: 109.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 09/03/2019] [Accepted: 09/05/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Nick Watts
- Institute for Global Health, University College London, London, UK.
| | - Markus Amann
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | | | - Kristine Belesova
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Maxwell Boykoff
- Cooperative Institute for Research in Environmental Sciences and Environmental Studies, University of Colorado Boulder, Boulder, CO, USA
| | - Peter Byass
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | | | | | - Jonathan Chambers
- Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Meaghan Daly
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Robert Dubrow
- Yale Climate Change and Health Initiative, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Matthew Eckelman
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | | | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Paul Haggar
- School of Psychology, Cardiff University, Cardiff, UK
| | - Ian Hamilton
- Energy Institute, University College London, London, UK
| | - Stella Hartinger
- The Integrated Development, Health and Environment Unit, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Jeremy Hess
- Centre for Health and the Global Environment, University of Washington, Washington, DC, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Bruno Lemke
- Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Melissa Lott
- Center on Global Energy Policy School of International and Public Affairs, Columbia University, New York City, NY, USA
| | - Rachel Lowe
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | | | | | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- History and Society Division, Babson College, Wellesley, MA, USA
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | | | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- European Centre for Environment and Human Health, University of Exeter, Exeter, UK
| | - Kris Murray
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | | | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Tara Neville
- Department of Public Health and the Environment, WHO, Geneva, Switzerland
| | | | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Center for Science and Technology Policy Research, University of Colorado Boulder, Boulder, CO, USA
| | | | - Dung Phung
- School of Medicine, Griffith University, Brisbane, QLD, Australia
| | - Steve Pye
- Energy Institute, University College London, London, UK
| | - Ruth Quinn
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control, Solna, Sweden
| | - Jodi Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | | | - Meisam Tabatabaei
- Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA, Shah Alam, Malaysia
| | - Jonathon Taylor
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Joaquin Trinanes
- Physical Oceanography Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, USA
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Anthony Costello
- Office of the Vice Provost for Research, University College London, London, UK
| | - Peng Gong
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Hugh Montgomery
- Institute for Human Health and Performance, University College London, London, UK
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Mendez‐Lopez A, McKee M, Stuckler D, Granich R, Gupta S, Noori T, Semenza JC. Population uptake and effectiveness of test-and-treat antiretroviral therapy guidelines for preventing the global spread of HIV: an ecological cross-national analysis. HIV Med 2019; 20:501-512. [PMID: 31140715 PMCID: PMC6772052 DOI: 10.1111/hiv.12750] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Although the benefits of adopting test-and-treat antiretroviral therapy (ART) guidelines that recommend initiation of ART regardless of CD4 cell counts have been demonstrated at the individual level, there is uncertainty about how this translates to the population level. Here, we explored whether adopting ART guidelines recommending earlier treatment initiation improves population ART access and viral suppression and reduces overall disease transmission. METHODS Data on ART initiation guidelines and treatment coverage, viral suppression, and HIV incidence from 37 European and Central Asian countries were collected from the European Centre for Disease Prevention and Control and the Global HIV Policy Watch and HIV 90-90-90 Watch databases. We used multivariate linear regression models to quantify the association of ART initiation guidelines with population ART access, viral suppression, and HIV incidence, adjusting for potential confounding factors. RESULTS Test-and-treat policies were associated with 15.2 percentage points (pp) [95% confidence interval (CI) 0.8-29.6 pp; P = 0.039] greater treatment coverage (proportion of HIV-positive people on ART) compared with countries with ART initiation at CD4 cell counts ≤ 350 cells/μL. The presence of test-and-treat policies was associated with 15.8 pp (95% CI 2.4-29.1 pp; P = 0.023) higher viral suppression rates (people on ART virally suppressed) compared with countries with treatment initiation at CD4 counts ≤ 350 cells/μL. ART initiation at CD4 counts ≤ 500 cells/μL did not significantly improve ART coverage compared to initiation at CD4 counts ≤ 350 cells/μL but achieved similar degrees of viral suppression as test-and-treat. CONCLUSIONS Test-and-treat was found to be associated with substantial improvements in population-level access to ART and viral suppression, further strengthening evidence that rapid initiation of treatment will help curb the spread of HIV.
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Affiliation(s)
| | - M McKee
- Department of Public Health & PolicyLondon School of Hygiene & Tropical MedicineLondonUK
| | - D Stuckler
- Department of Public Health & PolicyLondon School of Hygiene & Tropical MedicineLondonUK
- Dondena Research CentreUniversity of BocconiMilanItaly
| | - R Granich
- Independent Public Health ConsultantSan FranciscoCAUSA
| | - S Gupta
- Independent Public Health ConsultantDelhiIndia
| | - T Noori
- European Centre for Disease Prevention and ControlStockholmSweden
| | - JC Semenza
- European Centre for Disease Prevention and ControlStockholmSweden
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29
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Affiliation(s)
| | - Bernhard Schink
- Department of Biology, Microbial Ecology, University of Konstanz, Universitaetsstr. 10, D-78457 Konstanz, Germany
| | - Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control, Gustav III:s boulevard 40, 169 73 Solna, Sweden
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Abstract
Climate change has already impacted the transmission of a wide range of vector-borne diseases in Europe, and it will continue to do so in the coming decades. Climate change has been implicated in the observed shift of ticks to elevated altitudes and latitudes, notably including the Ixodes ricinus tick species that is a vector for Lyme borreliosis and tick-borne encephalitis. Climate change is also thought to have been a factor in the expansion of other important disease vectors in Europe: Aedes albopictus (the Asian tiger mosquito), which transmits diseases such as Zika, dengue and chikungunya, and Phlebotomus sandfly species, which transmits diseases including Leishmaniasis. In addition, highly elevated temperatures in the summer of 2010 have been associated with an epidemic of West Nile Fever in Southeast Europe and subsequent outbreaks have been linked to summer temperature anomalies. Future climate-sensitive health impacts are challenging to project quantitatively, in part due to the intricate interplay between non-climatic and climatic drivers, weather-sensitive pathogens and climate-change adaptation. Moreover, globalisation and international air travel contribute to pathogen and vector dispersion internationally. Nevertheless, monitoring forecasts of meteorological conditions can help detect epidemic precursors of vector-borne disease outbreaks and serve as early warning systems for risk reduction.
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Affiliation(s)
- Jan C Semenza
- European Centre for Disease Prevention and Control, Tomtebodavägen 11A, Stockholm, S-171 83, Sweden
| | - Jonathan E Suk
- European Centre for Disease Prevention and Control, Tomtebodavägen 11A, Stockholm, S-171 83, Sweden
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31
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Hunter PR, Colón-González FJ, Brainard J, Majuru B, Pedrazzoli D, Abubakar I, Dinsa G, Suhrcke M, Stuckler D, Lim TA, Semenza JC. Can economic indicators predict infectious disease spread? A cross-country panel analysis of 13 European countries. Scand J Public Health 2019; 48:351-361. [PMID: 31291826 DOI: 10.1177/1403494819852830] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Aims: It is unclear how economic factors impact on the epidemiology of infectious disease. We evaluated the relationship between incidence of selected infectious diseases and economic factors, including economic downturn, in 13 European countries between 1970 and 2010. Methods: Data were obtained from national communicable disease surveillance centres. Negative binomial forms of the generalised additive model (GAM) and the generalised linear model were tested to see which best reflected transmission dynamics of: diphtheria, pertussis, measles, meningococcal disease, hepatitis B, gonorrhoea, syphilis, hepatitis A and salmonella. Economic indicators were gross domestic product per capita (GDPpc), unemployment rates and (economic) downturn. Results: GAM models produced the best goodness-of-fit results. The relationship between GDPpc and disease incidence was often non-linear. Strength and directions of association between population age, tertiary education levels, GDPpc and unemployment were disease dependent. Overdispersion for almost all diseases validated the assumption of a negative binomial relationship. Downturns were not independently linked to disease incidence. Conclusions: Social and economic factors can be correlated with many infections. However, the trend is not always in the same direction, and these associations are often non-linear. Economic downturn or recessions as indicators of increased disease risk may be better replaced by GDPpc or unemployment measures.
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Affiliation(s)
| | | | | | | | - Debora Pedrazzoli
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK
| | | | - Girmaye Dinsa
- T.H. Chan School of Public Health, Harvard University, USA
| | - Marc Suhrcke
- Centre for Health Economics, University of York, UK
| | | | - Tek-Ang Lim
- Science and International Office, French Public Health Agency, France
| | - Jan C Semenza
- European Centre for Disease Prevention and Control (ECDC), Sweden
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32
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Liu-Helmersson J, Brännström Å, Sewe MO, Semenza JC, Rocklöv J. Estimating Past, Present, and Future Trends in the Global Distribution and Abundance of the Arbovirus Vector Aedes aegypti Under Climate Change Scenarios. Front Public Health 2019; 7:148. [PMID: 31249824 PMCID: PMC6582658 DOI: 10.3389/fpubh.2019.00148] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 05/22/2019] [Indexed: 12/27/2022] Open
Abstract
Background:Aedes aegypti is the principal vector for several important arbovirus diseases, including dengue, chikungunya, yellow fever, and Zika. While recent empirical research has attempted to identify the current global distribution of the vector, the seasonal, and longer-term dynamics of the mosquito in response to trends in climate, population, and economic development over the twentieth and the twenty-first century remains to be elucidated. Methods: In this study, we use a process-based mathematical model to estimate global vector distribution and abundance. The model is based on the lifecycle of the vector and its dependence on climate, and the model sensitivity to socio-economic development is tested. Model parameters were generally empirically based, and the model was calibrated to global databases and time series of occurrence and abundance records. Climate data on temperature and rainfall were taken from CRU TS3.25 (1901–2015) and five global circulation models (CMIP5; 2006–2099) forced by a high-end (RCP8.5) and a low-end (RCP2.6) emission scenario. Socio-economic data on global GDP and human population density were from ISIMIP (1950–2099). Findings: The change in the potential of global abundance in A. aegypti over the last century up to today is estimated to be an increase of 9.5% globally and a further increase of 20 or 30% by the end of this century under a low compared to a high carbon emission future, respectively. The largest increase has occurred in the last two decades, indicating a tipping point in climate-driven global abundance which will be stabilized at the earliest in the mid-twenty-first century. The realized abundance is estimated to be sensitive to socioeconomic development. Interpretation: Our data indicate that climate change mitigation, i.e., following the Paris Agreement, could considerably help in suppressing risks of increased abundance and emergence of A. aegypti globally in the second half of the twenty-first century.
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Affiliation(s)
| | - Åke Brännström
- Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.,Evolution and Ecology Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Maquins Odhiambo Sewe
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
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33
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Morin CW, Semenza JC, Trtanj JM, Glass GE, Boyer C, Ebi KL. Unexplored Opportunities: Use of Climate- and Weather-Driven Early Warning Systems to Reduce the Burden of Infectious Diseases. Curr Environ Health Rep 2019; 5:430-438. [PMID: 30350265 DOI: 10.1007/s40572-018-0221-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE OF REVIEW Weather and climate influence multiple aspects of infectious disease ecology. Creating and applying early warning systems based on temperature, precipitation, and other environmental data can identify where and when outbreaks of climate-sensitive infectious diseases could occur and can be used by decision makers to allocate resources. Whether an outbreak actually occurs depends heavily on other social, political, and institutional factors. RECENT FINDINGS Improving the timing and confidence of seasonal climate forecasting, coupled with knowledge of exposure-response relationships, can identify prior conditions conducive to disease outbreaks weeks to months in advance of outbreaks. This information could then be used by public health professionals to improve surveillance in the most likely areas for threats. Early warning systems are well established for drought and famine. And while weather- and climate-driven early warning systems for certain diseases, such as dengue fever and cholera, are employed in some regions, this area of research is underdeveloped. Early warning systems based on temperature, precipitation, and other environmental data provide an opportunity for early detection leading to early action and response to potential pathogen threats, thereby reducing the burden of disease when compared with passive health indicator-based surveillance systems.
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Affiliation(s)
- Cory W Morin
- University of Washington, 4225 Roosevelt Way NE # 100, Seattle, WA, 98105, USA.
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Solna, Sweden
| | - Juli M Trtanj
- National Oceanic and Atmospheric Administration, Silver Spring, MD, USA
| | | | - Christopher Boyer
- University of Washington, 4225 Roosevelt Way NE # 100, Seattle, WA, 98105, USA
| | - Kristie L Ebi
- University of Washington, 4225 Roosevelt Way NE # 100, Seattle, WA, 98105, USA
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34
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Lillepold K, Rocklöv J, Liu-Helmersson J, Sewe M, Semenza JC. More arboviral disease outbreaks in continental Europe due to the warming climate? J Travel Med 2019; 26:5372542. [PMID: 30850834 DOI: 10.1093/jtm/taz017] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 03/07/2019] [Indexed: 11/13/2022]
Affiliation(s)
- Kate Lillepold
- European Centre for Disease Prevention and Control, Stockholm Sweden
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jing Liu-Helmersson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Maquins Sewe
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Stockholm Sweden
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35
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Semenza JC, Ebi KL. Climate change impact on migration, travel, travel destinations and the tourism industry. J Travel Med 2019; 26:5445924. [PMID: 30976790 PMCID: PMC7107585 DOI: 10.1093/jtm/taz026] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 04/02/2019] [Accepted: 04/05/2019] [Indexed: 12/19/2022]
Abstract
Background: Climate change is not only increasing ambient temperature but also accelerating the frequency, duration and intensity of extreme weather and climate events, such as heavy precipitation and droughts, and causing sea level rise, which can lead to population displacement. Climate change-related reductions in land productivity and habitability and in food and water security can also interact with demographic, economic and social factors to increase migration. In addition to migration, climate change has also implications for travel and the risk of disease. This article discusses the impact of climate change on migration and travel with implications for public health practice. Methods: Literature review. Results: Migrants may be at increased risk of communicable and non-communicable diseases, due to factors in their country of origin and their country of destination or conditions that they experience during migration. Although migration has not been a significant driver of communicable disease outbreaks to date, public health authorities need to ensure that effective screening and vaccination programmes for priority communicable diseases are in place.Population growth coupled with socio-economic development is increasing travel and tourism, and advances in technology have increased global connectivity and reduced the time required to cover long distances. At the same time, as a result of climate change, many temperate regions, including high-income countries, are now suitable for vector-borne disease transmission. This is providing opportunities for importation of vectors and pathogens from endemic areas that can lead to cases or outbreaks of communicable diseases with which health professionals may be unfamiliar. Conclusion: Health systems need to be prepared for the potential population health consequences of migration, travel and tourism and the impact of climate change on these. Integrated surveillance, early detection of cases and other public health interventions are critical to protect population health and prevent and control communicabledisease outbreaks.
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Affiliation(s)
- Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control (ECDC), Gustav III:s boulevard 40, Solna, Sweden
| | - Kristie L Ebi
- Department of Global Health, University of Washington, PO Box 354695, Suite 2330, Seattle, WA, USA
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36
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Semenza JC, Sewe MO, Lindgren E, Brusin S, Aaslav KK, Mollet T, Rocklöv J. Systemic resilience to cross-border infectious disease threat events in Europe. Transbound Emerg Dis 2019; 66:1855-1863. [PMID: 31022321 PMCID: PMC6852001 DOI: 10.1111/tbed.13211] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 04/09/2019] [Accepted: 04/20/2019] [Indexed: 12/16/2022]
Abstract
Recurrent health emergencies threaten global health security. International Health Regulations (IHR) aim to prevent, detect and respond to such threats, through increase in national public health core capacities, but whether IHR core capacity implementation is necessary and sufficient has been contested. With a longitudinal study we relate changes in national IHR core capacities to changes in cross-border infectious disease threat events (IDTE) between 2010 and 2016, collected through epidemic intelligence at the European Centre for Disease Prevention and Control (ECDC). By combining all IHR core capacities into one composite measure we found that a 10% increase in the mean of this composite IHR core capacity to be associated with a 19% decrease (p = 0.017) in the incidence of cross-border IDTE in the EU. With respect to specific IHR core capacities, an individual increase in national legislation, policy & financing; coordination and communication with relevant sectors; surveillance; response; preparedness; risk communication; human resource capacity; or laboratory capacity was associated with a significant decrease in cross-border IDTE incidence. In contrast, our analysis showed that IHR core capacities relating to point-of-entry, zoonotic events or food safety were not associated with IDTE in the EU. Due to high internal correlations between core capacities, we conducted a principal component analysis which confirmed a 20% decrease in risk of IDTE for every 10% increase in the core capacity score (95% CI: 0.73, 0.88). Globally (EU excluded), a 10% increase in the mean of all IHR core capacities combined was associated with a 14% decrease (p = 0.077) in cross-border IDTE incidence. We provide quantitative evidence that improvements in IHR core capacities at country-level are associated with fewer cross-border IDTE in the EU, which may also hold true for other parts of the world.
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Affiliation(s)
- Jan C Semenza
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Maquines Odhiambo Sewe
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Elisabet Lindgren
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
| | - Sergio Brusin
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Thomas Mollet
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
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37
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Lake IR, Colón-González FJ, Takkinen J, Rossi M, Sudre B, Dias JG, Tavoschi L, Joshi A, Semenza JC, Nichols G. Exploring Campylobacter seasonality across Europe using The European Surveillance System (TESSy), 2008 to 2016. Euro Surveill 2019; 24:1800028. [PMID: 30940318 PMCID: PMC6446507 DOI: 10.2807/1560-7917.es.2019.24.13.180028] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BackgroundCampylobacteriosis is the most commonly reported food-borne infection in the European Union, with an annual number of cases estimated at around 9 million. In many countries, campylobacteriosis has a striking seasonal peak during early/mid-summer. In the early 2000s, several publications reported on campylobacteriosis seasonality across Europe and associations with temperature and precipitation. Subsequently, many European countries have introduced new measures against this food-borne disease.AimTo examine how the seasonality of campylobacteriosis varied across Europe from 2008-16, to explore associations with temperature and precipitation, and to compare these results with previous studies. We also sought to assess the utility of the European Surveillance System TESSy for cross-European seasonal analysis of campylobacteriosis.MethodsWard's Minimum Variance Clustering was used to group countries with similar seasonal patterns of campylobacteriosis. A two-stage multivariate meta-analysis methodology was used to explore associations with temperature and precipitation.ResultsNordic countries had a pronounced seasonal campylobacteriosis peak in mid- to late summer (weeks 29-32), while most other European countries had a less pronounced peak earlier in the year. The United Kingdom, Ireland, Hungary and Slovakia had a slightly earlier peak (week 24). Campylobacteriosis cases were positively associated with temperature and, to a lesser degree, precipitation.ConclusionAcross Europe, the strength and timing of campylobacteriosis peaks have remained similar to those observed previously. In addition, TESSy is a useful resource for cross-European seasonal analysis of infectious diseases such as campylobacteriosis, but its utility depends upon each country's reporting infrastructure.
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Affiliation(s)
- IR Lake
- School of Environmental Sciences, UEA, Norwich, United Kingdom
| | | | - J Takkinen
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - M Rossi
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - B Sudre
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - J Gomes Dias
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - L Tavoschi
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - A Joshi
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - JC Semenza
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - G Nichols
- School of Environmental Sciences, UEA, Norwich, United Kingdom,European Centre for Disease Prevention and Control, Stockholm, Sweden,Centre for Radiation, Chemical and Environmental Hazards, Public Health England, London, United Kingdom,Centre for Infections, Public Health England, London, United Kingdom,University of Exeter, Exeter, United Kingdom
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38
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Djennad A, Lo Iacono G, Sarran C, Lane C, Elson R, Höser C, Lake IR, Colón-González FJ, Kovats S, Semenza JC, Bailey TC, Kessel A, Fleming LE, Nichols GL. Seasonality and the effects of weather on Campylobacter infections. BMC Infect Dis 2019; 19:255. [PMID: 30866826 PMCID: PMC6417031 DOI: 10.1186/s12879-019-3840-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 02/20/2019] [Indexed: 01/08/2023] Open
Abstract
Background Campylobacteriosis is a major public health concern. The weather factors that influence spatial and seasonal distributions are not fully understood. Methods To investigate the impacts of temperature and rainfall on Campylobacter infections in England and Wales, cases of Campylobacter were linked to local temperature and rainfall at laboratory postcodes in the 30 days before the specimen date. Methods for investigation included a comparative conditional incidence, wavelet, clustering, and time series analyses. Results The increase of Campylobacter infections in the late spring was significantly linked to temperature two weeks before, with an increase in conditional incidence of 0.175 cases per 100,000 per week for weeks 17 to 24; the relationship to temperature was not linear. Generalized structural time series model revealed that changes in temperature accounted for 33.3% of the expected cases of Campylobacteriosis, with an indication of the direction and relevant temperature range. Wavelet analysis showed a strong annual cycle with additional harmonics at four and six months. Cluster analysis showed three clusters of seasonality with geographic similarities representing metropolitan, rural, and other areas. Conclusions The association of Campylobacteriosis with temperature is likely to be indirect. High-resolution spatial temporal linkage of weather parameters and cases is important in improving weather associations with infectious diseases. The primary driver of Campylobacter incidence remains to be determined; other avenues, such as insect contamination of chicken flocks through poor biosecurity should be explored. Electronic supplementary material The online version of this article (10.1186/s12879-019-3840-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Abdelmajid Djennad
- Statistics, Modelling and Economics Department, National Infection Service, Public Health England, 61, Colindale Avenue, London, NW9 5EQ, UK.
| | | | | | | | - Richard Elson
- National Infection Service, Public Health England, London, UK.,NIHR Health Protection Research Unit in Gastrointestinal Infections, London, UK
| | - Christoph Höser
- Institute for Hygiene and Public Health, GeoHealth Centre, University of Bonn, Bonn, Germany
| | | | | | - Sari Kovats
- London School of Hygiene and Tropical Medicine, London, UK
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Anthony Kessel
- Statistics, Modelling and Economics Department, National Infection Service, Public Health England, 61, Colindale Avenue, London, NW9 5EQ, UK.,London School of Hygiene and Tropical Medicine, London, UK
| | | | - Gordon L Nichols
- Statistics, Modelling and Economics Department, National Infection Service, Public Health England, 61, Colindale Avenue, London, NW9 5EQ, UK.,University of Exeter, Exeter, UK.,University of Thessaly, Larissa, Thessaly, Greece
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39
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Berry H, Bouley T, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Chambers J, Daly M, Dasandi N, Davies M, Depoux A, Dominguez-Salas P, Drummond P, Ebi KL, Ekins P, Montoya LF, Fischer H, Georgeson L, Grace D, Graham H, Hamilton I, Hartinger S, Hess J, Kelman I, Kiesewetter G, Kjellstrom T, Kniveton D, Lemke B, Liang L, Lott M, Lowe R, Sewe MO, Martinez-Urtaza J, Maslin M, McAllister L, Mikhaylov SJ, Milner J, Moradi-Lakeh M, Morrissey K, Murray K, Nilsson M, Neville T, Oreszczyn T, Owfi F, Pearman O, Pencheon D, Pye S, Rabbaniha M, Robinson E, Rocklöv J, Saxer O, Schütte S, Semenza JC, Shumake-Guillemot J, Steinbach R, Tabatabaei M, Tomei J, Trinanes J, Wheeler N, Wilkinson P, Gong P, Montgomery H, Costello A. The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come. Lancet 2018; 392:2479-2514. [PMID: 30503045 DOI: 10.1016/s0140-6736(18)32594-77] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/30/2018] [Accepted: 10/12/2018] [Indexed: 05/27/2023]
Affiliation(s)
- Nick Watts
- Institute for Global Health, University College London, London, UK.
| | - Markus Amann
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | | | - Kristine Belesova
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Helen Berry
- Sydney School of Public Health, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Timothy Bouley
- Health and Climate Change Unit, World Bank, Washington, DC, USA
| | - Maxwell Boykoff
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
| | - Peter Byass
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | | | | | - Meaghan Daly
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Niheer Dasandi
- School of Government and Society, University of Birmingham, Birmingham, UK
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Anneliese Depoux
- Centre Virchow-Villermé for Public Health Paris-Berlin, Université Sorbonne Paris Cité and Université Paris Sorbonne, Paris, France
| | - Paula Dominguez-Salas
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | | | - Helen Fischer
- Department of Psychology, Heidelberg University, Heidelberg, Germany
| | | | - Delia Grace
- International Livestock Research Institute, Nairobi, Kenya
| | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Ian Hamilton
- UCL Energy Institute, University College London, London, UK
| | | | - Jeremy Hess
- Centre for Health and the Global Environment, University of Washington, Washington, DC, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Bruno Lemke
- Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Lu Liang
- University of North Texas, Denton, TX, USA
| | - Melissa Lott
- Asia Pacific Energy Research Centre, Tokyo, Japan
| | - Rachel Lowe
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Maquins Odhiambo Sewe
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- History and Society Division, University of Colorado Boulder, Boulder, CO, USA
| | | | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- European Centre for the Environment and Human Health, University of Exeter, Exeter, UK
| | - Kris Murray
- Faculty of Medicine, School of Public Health, Imperial college London, London, UK
| | - Maria Nilsson
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tara Neville
- Department of Public Health and the Environment, WHO, Geneva, Switzerland
| | - Tadj Oreszczyn
- UCL Energy Institute, University College London, London, UK
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Centre for Science and Technology Policy Research, University of Colorado Boulder, Boulder, CO, USA
| | | | - Steve Pye
- UCL Energy Institute, University College London, London, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Olivia Saxer
- Centre Virchow-Villermé for Public Health Paris-Berlin, Université Sorbonne Paris Cité and Université Paris Sorbonne, Paris, France
| | - Stefanie Schütte
- Centre Virchow-Villermé for Public Health Paris-Berlin, Université Sorbonne Paris Cité and Université Paris Sorbonne, Paris, France
| | - Jan C Semenza
- European Centre for Disease Control and Prevention, Solna, Sweden
| | | | - Rebecca Steinbach
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Meisam Tabatabaei
- Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Julia Tomei
- Institute for Sustainable Resources, University College London, London, UK
| | - Joaquin Trinanes
- Physical Oceanography Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, USA
| | - Nicola Wheeler
- Institute for Global Health, University College London, London, UK
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Peng Gong
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Hugh Montgomery
- Centre for Human Health and Performance, Department of Medicine, University College London, London, UK
| | - Anthony Costello
- Office of the Vice-Provost (Research), University College London, London, UK
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Berry H, Bouley T, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Chambers J, Daly M, Dasandi N, Davies M, Depoux A, Dominguez-Salas P, Drummond P, Ebi KL, Ekins P, Montoya LF, Fischer H, Georgeson L, Grace D, Graham H, Hamilton I, Hartinger S, Hess J, Kelman I, Kiesewetter G, Kjellstrom T, Kniveton D, Lemke B, Liang L, Lott M, Lowe R, Sewe MO, Martinez-Urtaza J, Maslin M, McAllister L, Mikhaylov SJ, Milner J, Moradi-Lakeh M, Morrissey K, Murray K, Nilsson M, Neville T, Oreszczyn T, Owfi F, Pearman O, Pencheon D, Pye S, Rabbaniha M, Robinson E, Rocklöv J, Saxer O, Schütte S, Semenza JC, Shumake-Guillemot J, Steinbach R, Tabatabaei M, Tomei J, Trinanes J, Wheeler N, Wilkinson P, Gong P, Montgomery H, Costello A. The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come. Lancet 2018; 392:2479-2514. [PMID: 30503045 DOI: 10.1016/s0140-6736(18)32594-7] [Citation(s) in RCA: 328] [Impact Index Per Article: 54.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/30/2018] [Accepted: 10/12/2018] [Indexed: 12/16/2022]
Affiliation(s)
- Nick Watts
- Institute for Global Health, University College London, London, UK.
| | - Markus Amann
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | | | - Kristine Belesova
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Helen Berry
- Sydney School of Public Health, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Timothy Bouley
- Health and Climate Change Unit, World Bank, Washington, DC, USA
| | - Maxwell Boykoff
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
| | - Peter Byass
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | | | | | - Meaghan Daly
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Niheer Dasandi
- School of Government and Society, University of Birmingham, Birmingham, UK
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Anneliese Depoux
- Centre Virchow-Villermé for Public Health Paris-Berlin, Université Sorbonne Paris Cité and Université Paris Sorbonne, Paris, France
| | - Paula Dominguez-Salas
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Washington, DC, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | | | - Helen Fischer
- Department of Psychology, Heidelberg University, Heidelberg, Germany
| | | | - Delia Grace
- International Livestock Research Institute, Nairobi, Kenya
| | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Ian Hamilton
- UCL Energy Institute, University College London, London, UK
| | | | - Jeremy Hess
- Centre for Health and the Global Environment, University of Washington, Washington, DC, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Bruno Lemke
- Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Lu Liang
- University of North Texas, Denton, TX, USA
| | - Melissa Lott
- Asia Pacific Energy Research Centre, Tokyo, Japan
| | - Rachel Lowe
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Maquins Odhiambo Sewe
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- History and Society Division, University of Colorado Boulder, Boulder, CO, USA
| | | | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- European Centre for the Environment and Human Health, University of Exeter, Exeter, UK
| | - Kris Murray
- Faculty of Medicine, School of Public Health, Imperial college London, London, UK
| | - Maria Nilsson
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tara Neville
- Department of Public Health and the Environment, WHO, Geneva, Switzerland
| | - Tadj Oreszczyn
- UCL Energy Institute, University College London, London, UK
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Centre for Science and Technology Policy Research, University of Colorado Boulder, Boulder, CO, USA
| | | | - Steve Pye
- UCL Energy Institute, University College London, London, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Epidemiology and Global Health Unit, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Olivia Saxer
- Centre Virchow-Villermé for Public Health Paris-Berlin, Université Sorbonne Paris Cité and Université Paris Sorbonne, Paris, France
| | - Stefanie Schütte
- Centre Virchow-Villermé for Public Health Paris-Berlin, Université Sorbonne Paris Cité and Université Paris Sorbonne, Paris, France
| | - Jan C Semenza
- European Centre for Disease Control and Prevention, Solna, Sweden
| | | | - Rebecca Steinbach
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Meisam Tabatabaei
- Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Julia Tomei
- Institute for Sustainable Resources, University College London, London, UK
| | - Joaquin Trinanes
- Physical Oceanography Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, USA
| | - Nicola Wheeler
- Institute for Global Health, University College London, London, UK
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Peng Gong
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Hugh Montgomery
- Centre for Human Health and Performance, Department of Medicine, University College London, London, UK
| | - Anthony Costello
- Office of the Vice-Provost (Research), University College London, London, UK
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Czumbel I, Quinten C, Lopalco P, Semenza JC. Management and control of communicable diseases in schools and other child care settings: systematic review on the incubation period and period of infectiousness. BMC Infect Dis 2018; 18:199. [PMID: 29716545 PMCID: PMC5930806 DOI: 10.1186/s12879-018-3095-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 04/16/2018] [Indexed: 11/22/2022] Open
Abstract
Background Information on the incubation period and period of infectiousness or shedding of infectious pathogens is critical for management and control of communicable diseases in schools and other childcare settings. Methods We performed a systematic literature review (Pubmed and Embase) to identify and critically appraise all relevant published articles using incubation, infectiousness or shedding, and exclusion period as parameters for the search. No language, time, geographical or study design restrictions were applied. Results A total of 112 articles met the eligibility criteria. A relatively large number were retrieved for gastrointestinal diseases and influenza or respiratory syncytial virus, but there were few or no studies for other diseases. Although a considerable number of publications reported the incubation and shedding periods, there was less evidence concerning the period of infectiousness. On average, five days of exclusion is considered for measles, mumps, rubella, varicella and pertussis. For other diseases, such as most cases of meningococcal disease, hepatitis A and influenza exclusion is considered as long as severe symptoms persist. However, these results are based on a diverse range of study characteristics, including age, treatment, vaccination, underlying diseases, diagnostic tools, viral load, study design and definitions, making statistical analysis difficult. Conclusions Despite inconsistent definitions for key variables and the diversity of studies reviewed, published data provide sufficient quantitative estimates to inform decision making in schools and other childcare settings. The results can be used as a reference when deciding about the exclusion of a child with a communicable disease that both prevents exposure and avoids unnecessary absenteeism.
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Affiliation(s)
- Ida Czumbel
- European Centre for Disease Prevention and Control, Solna Municipality, Sweden
| | - Chantal Quinten
- European Centre for Disease Prevention and Control, Solna Municipality, Sweden
| | - Pierluigi Lopalco
- European Centre for Disease Prevention and Control, Solna Municipality, Sweden.,Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Solna Municipality, Sweden.
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42
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Semenza JC, Trinanes J, Lohr W, Sudre B, Löfdahl M, Martinez-Urtaza J, Nichols GL, Rocklöv J. Environmental Suitability of Vibrio Infections in a Warming Climate: An Early Warning System. Environ Health Perspect 2017; 125:107004. [PMID: 29017986 PMCID: PMC5933323 DOI: 10.1289/ehp2198] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 08/12/2017] [Accepted: 08/14/2017] [Indexed: 05/19/2023]
Abstract
BACKGROUND Some Vibrio spp. are pathogenic and ubiquitous in marine waters with low to moderate salinity and thrive with elevated sea surface temperature (SST). OBJECTIVES Our objective was to monitor and project the suitability of marine conditions for Vibrio infections under climate change scenarios. METHODS The European Centre for Disease Prevention and Control (ECDC) developed a platform (the ECDC Vibrio Map Viewer) to monitor the environmental suitability of coastal waters for Vibrio spp. using remotely sensed SST and salinity. A case-crossover study of Swedish cases was conducted to ascertain the relationship between SST and Vibrio infection through a conditional logistic regression. Climate change projections for Vibrio infections were developed for Representative Concentration Pathway (RCP) 4.5 and RCP 8.5. RESULTS The ECDC Vibrio Map Viewer detected environmentally suitable areas for Vibrio spp. in the Baltic Sea in July 2014 that were accompanied by a spike in cases and one death in Sweden. The estimated exposure-response relationship for Vibrio infections at a threshold of 16°C revealed a relative risk (RR)=1.14 (95% CI: 1.02, 1.27; p=0.024) for a lag of 2 wk; the estimated risk increased successively beyond this SST threshold. Climate change projections for SST under the RCP 4.5 and RCP 8.5 scenarios indicate a marked upward trend during the summer months and an increase in the relative risk of these infections in the coming decades. CONCLUSIONS This platform can serve as an early warning system as the risk of further Vibrio infections increases in the 21st century due to climate change. https://doi.org/10.1289/EHP2198.
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Affiliation(s)
- Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control , Stockholm, Sweden
| | - Joaquin Trinanes
- Instituto de Investigaciones Tecnoloxicas, Universidade de Santiago de Compostela , Santiago, Spain
- Physical Oceanography Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration , Miami, Florida, USA
- Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami , Miami, Florida, USA
| | - Wolfgang Lohr
- Umeå Centre for Global Health Research, Umeå University , Umeå, Sweden
- Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University , Umeå, Sweden
| | - Bertrand Sudre
- Epidemic Intelligence and Response, European Centre for Disease Prevention and Control , Stockholm, Sweden
| | | | - Jaime Martinez-Urtaza
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath , Bath, UK
- The Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, UK
| | - Gordon L Nichols
- Public Health England , London, UK
- University of Exeter , Exeter, UK
- University of East Anglia , Norwich, UK
| | - Joacim Rocklöv
- Umeå Centre for Global Health Research, Umeå University , Umeå, Sweden
- Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University , Umeå, Sweden
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43
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Ebi KL, Ogden NH, Semenza JC, Woodward A. Detecting and Attributing Health Burdens to Climate Change. Environ Health Perspect 2017; 125:085004. [PMID: 28796635 PMCID: PMC5783629 DOI: 10.1289/ehp1509] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 03/31/2017] [Accepted: 04/17/2017] [Indexed: 05/03/2023]
Abstract
BACKGROUND Detection and attribution of health impacts caused by climate change uses formal methods to determine a) whether the occurrence of adverse health outcomes has changed, and b) the extent to which that change could be attributed to climate change. There have been limited efforts to undertake detection and attribution analyses in health. OBJECTIVE Our goal was to show a range of approaches for conducting detection and attribution analyses. RESULTS Case studies for heatwaves, Lyme disease in Canada, and Vibrio emergence in northern Europe highlight evidence that climate change is adversely affecting human health. Changes in rates and geographic distribution of adverse health outcomes were detected, and, in each instance, a proportion of the observed changes could, in our judgment, be attributed to changes in weather patterns associated with climate change. CONCLUSIONS The results of detection and attribution studies can inform evidence-based risk management to reduce current, and plan for future, changes in health risks associated with climate change. Gaining a better understanding of the size, timing, and distribution of the climate change burden of disease and injury requires reliable long-term data sets, more knowledge about the factors that confound and modify the effects of climate on health, and refinement of analytic techniques for detection and attribution. At the same time, significant advances are possible in the absence of complete data and statistical certainty: there is a place for well-informed judgments, based on understanding of underlying processes and matching of patterns of health, climate, and other determinants of human well-being. https://doi.org/10.1289/EHP1509.
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Affiliation(s)
- Kristie L Ebi
- Department of Global Health, University of Washington , Seattle, Washington, USA
| | - Nicholas H Ogden
- Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada , Saint-Hyacinthe, Quebec, Canada
| | - Jan C Semenza
- Stockholm Environmental Institute , Stockholm, Sweden
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44
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Tjaden NB, Suk JE, Fischer D, Thomas SM, Beierkuhnlein C, Semenza JC. Modelling the effects of global climate change on Chikungunya transmission in the 21 st century. Sci Rep 2017. [PMID: 28630444 PMCID: PMC5476675 DOI: 10.1038/s41598-017-03566-3] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
The arrival and rapid spread of the mosquito-borne viral disease Chikungunya across the Americas is one of the most significant public health developments of recent years, preceding and mirroring the subsequent spread of Zika. Globalization in trade and travel can lead to the importation of these viruses, but climatic conditions strongly affect the efficiency of transmission in local settings. In order to direct preparedness for future outbreaks, it is necessary to anticipate global regions that could become suitable for Chikungunya transmission. Here, we present global correlative niche models for autochthonous Chikungunya transmission. These models were used as the basis for projections under the representative concentration pathway (RCP) 4.5 and 8.5 climate change scenarios. In a further step, hazard maps, which account for population densities, were produced. The baseline models successfully delineate current areas of active Chikungunya transmission. Projections under the RCP 4.5 and 8.5 scenarios suggest the likelihood of expansion of transmission-suitable areas in many parts of the world, including China, sub-Saharan Africa, South America, the United States and continental Europe. The models presented here can be used to inform public health preparedness planning in a highly interconnected world.
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Affiliation(s)
- Nils B Tjaden
- Department of Biogeography, University of Bayreuth, Bayreuth, Germany
| | - Jonathan E Suk
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Dominik Fischer
- Department of Biogeography, University of Bayreuth, Bayreuth, Germany.,Technical University of Munich (TUM), Munich, Germany
| | | | | | - Jan C Semenza
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
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45
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Reeves A, Steele S, Stuckler D, McKee M, Amato-Gauci A, Semenza JC. Gender violence, poverty and HIV infection risk among persons engaged in the sex industry: cross-national analysis of the political economy of sex markets in 30 European and Central Asian countries. HIV Med 2017; 18:748-755. [PMID: 28556456 PMCID: PMC6767421 DOI: 10.1111/hiv.12520] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2017] [Indexed: 11/30/2022]
Abstract
Objectives Persons engaged in the sex industry are at greater risk of HIV and other sexually transmitted infections than the general population. One major factor is exposure to higher levels of risky sexual activity. Expanding condom use is a critical prevention strategy, but this requires negotiation with those buying sex, which takes place in the context of cultural and economic constraints. Impoverished individuals who fear violence are more likely to forego condoms. Methods Here we tested the hypotheses that poverty and fear of violence are two structural drivers of HIV infection risk in the sex industry. Using data from the European Centre for Disease Prevention and Control and the World Bank for 30 countries, we evaluated poverty, measured using the average income per day per person in the bottom 40% of the income distribution, and gender violence, measured using homicide rates in women and the proportion of women exposed to violence in the last 12 months and/or since age 16 years. Results We found that HIV prevalence among those in the sex industry was higher in countries where there were greater female homicide rates (β = 0.86; P = 0.018) and there was some evidence that self‐reported exposure to violence was also associated with higher HIV prevalence (β = 1.37; P = 0.043). Conversely, HIV prevalence was lower in countries where average incomes among the poorest were greater (β = −1.05; P = 0.046). Conclusions Our results are consistent with the theory that reducing poverty and exposure to violence may help reduce HIV infection risk among persons engaged in the sex industry.
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Affiliation(s)
- A Reeves
- International Inequalities Institute, London School of Economics and Political Science, London, UK.,Department of Sociology, University of Oxford, Oxford, UK
| | - S Steele
- Jesus College, University of Cambridge, Cambridge, UK
| | - D Stuckler
- Department of Sociology, University of Oxford, Oxford, UK
| | - M McKee
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - A Amato-Gauci
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - J C Semenza
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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46
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Reeves A, Steele S, Stuckler D, McKee M, Amato-Gauci A, Semenza JC. National sex work policy and HIV prevalence among sex workers: an ecological regression analysis of 27 European countries. Lancet HIV 2017; 4:e134-e140. [PMID: 28130026 DOI: 10.1016/s2352-3018(16)30217-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 11/03/2016] [Accepted: 11/04/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Sex workers are disproportionately affected by HIV compared with the general population. Most studies of HIV risk among sex workers have focused on individual-level risk factors, with few studies assessing potential structural determinants of HIV risk. In this Article, we examine whether criminal laws around sex work are associated with HIV prevalence among female sex workers. METHOD We estimate cross-sectional, ecological regression models with data from 27 European countries on HIV prevalence among sex workers from the European Centre for Disease Control; sex-work legislation from the US State Department's Country Reports on Human Rights Practices and country-specific legal documents; the rule of law and gross-domestic product per capita, adjusted for purchasing power, from the World Bank; and the prevalence of injecting drug use among sex workers. Although data from two countries include male sex workers, the numbers are so small that the findings here essentially pertain to prevalence in female sex workers. FINDINGS Countries that have legalised some aspects of sex work (n=17) have significantly lower HIV prevalence among sex workers than countries that criminalise all aspects of sex work (n=10; β=-2·09, 95% CI -0·80 to -3·37; p=0·003), even after controlling for the level of economic development (β=-1·86; p=0·038) and the proportion of sex workers who are injecting drug users (-1·93; p=0·026). We found that the relation between sex work policy and HIV among sex workers might be partly moderated by the effectiveness and fairness of enforcement, suggesting legalisation of some aspects of sex work could reduce HIV among sex workers to the greatest extent in countries where enforcement is fair and effective. INTERPRETATION Our findings suggest that the legalisation of some aspects of sex work might help reduce HIV prevalence in this high-risk group, particularly in countries where the judiciary is effective and fair. FUNDING European Centre for Disease Prevention and Control.
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Affiliation(s)
- Aaron Reeves
- International Inequalities Institute, London School of Economics and Political Science, London, UK; Department of Sociology, University of Oxford, Oxford, UK.
| | - Sarah Steele
- Department of Humanities and Social Sciences, Anglia Ruskin University, Cambridge, UK
| | - David Stuckler
- Department of Sociology, University of Oxford, Oxford, UK
| | - Martin McKee
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Andrew Amato-Gauci
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Jan C Semenza
- European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
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Semenza JC, Lindgren E, Balkanyi L, Espinosa L, Almqvist MS, Penttinen P, Rocklöv J. Determinants and Drivers of Infectious Disease Threat Events in Europe. Emerg Infect Dis 2016; 22:581-9. [PMID: 26982104 DOI: 10.3201/eid2204] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 116 IDTEs detected in Europe during 2008-2013 by epidemic intelligence at the European Centre of Disease Prevention and Control. Seventeen drivers were identified and categorized into 3 groups: globalization and environment, sociodemographic, and public health systems. A combination of >2 drivers was responsible for most IDTEs. The driver category globalization and environment contributed to 61% of individual IDTEs, and the top 5 individual drivers of all IDTEs were travel and tourism, food and water quality, natural environment, global trade, and climate. Hierarchical cluster analysis of all drivers identified travel and tourism as a distinctly separate driver. Monitoring and modeling such disease drivers can help anticipate future IDTEs and strengthen control measures. More important, intervening directly on these underlying drivers can diminish the likelihood of the occurrence of an IDTE and reduce the associated human and economic costs.
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Abstract
Globalization and environment, the most frequent underlying drivers, should be targeted for interventions to prevent such events. Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 116 IDTEs detected in Europe during 2008–2013 by epidemic intelligence at the European Centre of Disease Prevention and Control. Seventeen drivers were identified and categorized into 3 groups: globalization and environment, sociodemographic, and public health systems. A combination of >2 drivers was responsible for most IDTEs. The driver category globalization and environment contributed to 61% of individual IDTEs, and the top 5 individual drivers of all IDTEs were travel and tourism, food and water quality, natural environment, global trade, and climate. Hierarchical cluster analysis of all drivers identified travel and tourism as a distinctly separate driver. Monitoring and modeling such disease drivers can help anticipate future IDTEs and strengthen control measures. More important, intervening directly on these underlying drivers can diminish the likelihood of the occurrence of an IDTE and reduce the associated human and economic costs.
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Guzman Herrador B, de Blasio BF, Carlander A, Ethelberg S, Hygen HO, Kuusi M, Lund V, Löfdahl M, MacDonald E, Martinez-Urtaza J, Nichols G, Schönning C, Sudre B, Trönnberg L, Vold L, Semenza JC, Nygård K. Association between heavy precipitation events and waterborne outbreaks in four Nordic countries, 1992-2012. J Water Health 2016; 14:1019-1027. [PMID: 27959880 DOI: 10.2166/wh.2016.071] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
We conducted a matched case-control study to examine the association between heavy precipitation events and waterborne outbreaks (WBOs) by linking epidemiological registries and meteorological data between 1992 and 2012 in four Nordic countries. Heavy precipitation events were defined by above average (exceedance) daily rainfall during the preceding weeks using local references. We performed conditional logistic regression using the four previous years as the controls. Among WBOs with known onset date (n = 89), exceedance rainfall on two or more days was associated with occurrence of outbreak, OR = 3.06 (95% CI 1.38-6.78), compared to zero exceedance days. Stratified analyses revealed a significant association with single household water supplies, ground water as source and for outbreaks occurring during spring and summer. These findings were reproduced in analyses including all WBOs with known outbreak month (n = 186). The vulnerability of single households to WBOs associated with heavy precipitation events should be communicated to homeowners and implemented into future policy planning to reduce the risk of waterborne illness.
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Affiliation(s)
- Bernardo Guzman Herrador
- Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway E-mail:
| | - Birgitte Freiesleben de Blasio
- Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway E-mail: ; Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Anneli Carlander
- Department of Monitoring and Evaluation, Public Health Agency of Sweden, Stockholm, Sweden
| | - Steen Ethelberg
- Department of Infectious Disease Epidemiology, Statens Serum Institute, Copenhagen, Denmark
| | | | - Markku Kuusi
- Department of Infectious Disease Surveillance and Control, National Institute for Health and Welfare, Helsinki, Finland
| | - Vidar Lund
- Department of Food, Water and Cosmetics, Norwegian Institute of Public Health, Oslo, Norway
| | - Margareta Löfdahl
- Department of Monitoring and Evaluation, Public Health Agency of Sweden, Stockholm, Sweden
| | - Emily MacDonald
- Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway E-mail: ; European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Jaime Martinez-Urtaza
- Department of Biology and Biochemistry, University of Bath, Bath, UK; European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Gordon Nichols
- Gastrointestinal, Emerging and Zoonotic Diseases Department, Public Health England, London, UK; Norwich Medical School, University of East Anglia, Norwich, UK; and Department of Hygiene & Epidemiology, University of Thessaly, Thessaly, Greece; European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Caroline Schönning
- Department of Monitoring and Evaluation, Public Health Agency of Sweden, Stockholm, Sweden
| | - Bertrand Sudre
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Linda Trönnberg
- Department of Monitoring and Evaluation, Public Health Agency of Sweden, Stockholm, Sweden
| | - Line Vold
- Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway E-mail:
| | - Jan C Semenza
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Karin Nygård
- Department of Infectious Disease Epidemiology, Norwegian Institute of Public Health, Oslo, Norway E-mail:
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50
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Ebi KL, Semenza JC, Rocklöv J. Current medical research funding and frameworks are insufficient to address the health risks of global environmental change. Environ Health 2016; 15:108. [PMID: 27835959 PMCID: PMC5106817 DOI: 10.1186/s12940-016-0183-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Accepted: 10/10/2016] [Indexed: 05/27/2023]
Abstract
BACKGROUND Three major international agreements signed in 2015 are key milestones for transitioning to more sustainable and resilient societies: the UN 2030 Agenda for Sustainable Development; the Sendai Framework for Disaster Risk Reduction; and the Paris Agreement under the United Nations Framework Convention on Climate Change. Together, these agreements underscore the critical importance of understanding and managing the health risks of global changes, to ensure continued population health improvements in the face of significant social and environmental change over this century. BODY: Funding priorities of major health institutions and organizations in the U.S. and Europe do not match research investments with needs to inform implementation of these international agreements. In the U.S., the National Institutes of Health commit 0.025 % of their annual research budget to climate change and health. The European Union Seventh Framework Programme committed 0.08 % of the total budget to climate change and health; the amount committed under Horizon 2020 was 0.04 % of the budget. Two issues apparently contributing to this mismatch are viewing climate change primarily as an environmental problem, and therefore the responsibility of other research streams; and narrowly framing research into managing the health risks of climate variability and change from the perspective of medicine and traditional public health. This reductionist, top-down perspective focuses on proximate, individual level risk factors. While highly successful in reducing disease burdens, this framing is insufficient to protect health and well-being over a century that will be characterized by profound social and environmental changes. CONCLUSIONS International commitments in 2015 underscored the significant challenges societies will face this century from climate change and other global changes. However, the low priority placed on understanding and managing the associated health risks by national and international research institutions and organizations leaves populations poorly prepared to cope with changing health burdens. Risk-centered, systems approaches can facilitate understanding of the complex interactions and dependencies across environmental, social, and human systems. This understanding is needed to formulate effective interventions targeting socio-environmental factors that are as important for determining health burdens as are individual risk factors.
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Affiliation(s)
- Kristie L Ebi
- Department of Global Health, University of Washington, Seattle, WA, 98195, USA.
| | - Jan C Semenza
- Stockholm Environmental Institute, Linnégatan 87D, 115 23, Stockholm, Sweden
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
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