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Whitaker J, Edem I, Togun E, Amoah AS, Dube A, Chirwa L, Munthali B, Brunelli G, Van Boeckel T, Rickard R, Leather AJM, Davies J. Health system assessment for access to care after injury in low- or middle-income countries: A mixed methods study from Northern Malawi. PLoS Med 2024; 21:e1004344. [PMID: 38252654 PMCID: PMC10843098 DOI: 10.1371/journal.pmed.1004344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 10/27/2022] [Revised: 02/05/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Injuries represent a vast and relatively neglected burden of disease affecting low- and middle-income countries (LMICs). While many health systems underperform in treating injured patients, most assessments have not considered the whole system. We integrated findings from 9 methods using a 3 delays approach (delays in seeking, reaching, or receiving care) to prioritise important trauma care health system barriers in Karonga, Northern Malawi, and exemplify a holistic health system assessment approach applicable in comparable settings. METHODS AND FINDINGS To provide multiple perspectives on each conceptual delay and include data from community-based and facility-based sources, we used 9 methods to examine the injury care health system. The methods were (1) household survey; (2) verbal autopsy analysis; (3) community focus group discussions (FGDs); (4) community photovoice; (5) facility care-pathway process mapping and elucidation of barriers following injury; (6) facility healthcare worker survey; (7) facility assessment survey; (8) clinical vignettes for care process quality assessment of facility-based healthcare workers; and (9) geographic information system (GIS) analysis. Empirical data collection took place in Karonga, Northern Malawi, between July 2019 and February 2020. We used a convergent parallel study design concurrently conducting all data collection before subsequently integrating results for interpretation. For each delay, a matrix was created to juxtapose method-specific data relevant to each barrier identified as driving delays to injury care. Using a consensus approach, we graded the evidence from each method as to whether an identified barrier was important within the health system. We identified 26 barriers to access timely quality injury care evidenced by at least 3 of the 9 study methods. There were 10 barriers at delay 1, 6 at delay 2, and 10 at delay 3. We found that the barriers "cost," "transport," and "physical resources" had the most methods providing strong evidence they were important health system barriers within delays 1 (seeking care), 2 (reaching care), and 3 (receiving care), respectively. Facility process mapping provided evidence for the greatest number of barriers-25 of 26 within the integrated analysis. There were some barriers with notable divergent findings between the community- and facility-based methods, as well as among different community- and facility-based methods, which are discussed. The main limitation of our study is that the framework for grading evidence strength for important health system barriers across the 9 studies was done by author-derived consensus; other researchers might have created a different framework. CONCLUSIONS By integrating 9 different methods, including qualitative, quantitative, community-, patient-, and healthcare worker-derived data sources, we gained a rich insight into the functioning of this health system's ability to provide injury care. This approach allowed more holistic appraisal of this health system's issues by establishing convergence of evidence across the diverse methods used that the barriers of cost, transport, and physical resources were the most important health system barriers driving delays to seeking, reaching, and receiving injury care, respectively. This offers direction and confidence, over and above that derived from single methodology studies, for prioritising barriers to address through health service development and policy.
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Affiliation(s)
- John Whitaker
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- King’s Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
- Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, United Kingdom
| | - Idara Edem
- King’s Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
- Insight Institute of Neurosurgery & Neuroscience, Flint, Michigan, United States of America
- Michigan State University, East Lansing, Michigan, United States of America
| | - Ella Togun
- King’s Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Abena S. Amoah
- Malawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Albert Dube
- Malawi Epidemiology and Intervention Research Unit (formerly Karonga Prevention Study), Chilumba, Malawi
| | - Lindani Chirwa
- Karonga District Hospital, Karonga District Health Office, Karonga, Malawi
- School of Medicine & Oral Health, Department of Pathology, Kamuzu University of Health Sciences (KUHeS), Blantyre, Malawi
| | - Boston Munthali
- Mzuzu Central Hospital, Department of Orthopaedic Surgery, Mzuzu, Malawi
- Lilongwe Institute of Orthopaedic and Neurosurgery, Lilongwe, Malawi
| | - Giulia Brunelli
- Health Geography and Policy Group, ETH Zurich, Zurich, Switzerland
| | - Thomas Van Boeckel
- Health Geography and Policy Group, ETH Zurich, Zurich, Switzerland
- Center for Disease Dynamics Economics and Policy, Washington, DC, United States of America
| | - Rory Rickard
- Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, United Kingdom
| | - Andrew JM Leather
- King’s Centre for Global Health and Health Partnerships, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Justine Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Surgery, Stellenbosch University, Stellenbosch, South Africa
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Schar D, Zhang Z, Pires J, Vrancken B, Suchard MA, Lemey P, Ip M, Gilbert M, Van Boeckel T, Dellicour S. Dispersal history and bidirectional human-fish host switching of invasive, hypervirulent Streptococcus agalactiae sequence type 283. PLOS Glob Public Health 2023; 3:e0002454. [PMID: 37856430 PMCID: PMC10586614 DOI: 10.1371/journal.pgph.0002454] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023]
Abstract
Human group B Streptococcus (GBS) infections attributable to an invasive, hypervirulent sequence type (ST) 283 have been associated with freshwater fish consumption in Asia. The origin, geographic dispersion pathways and host transitions of GBS ST283 remain unresolved. We gather 328 ST283 isolate whole-genome sequences collected from humans and fish between 1998 and 2021, representing eleven countries across four continents. We apply Bayesian phylogeographic analyses to reconstruct the dispersal history of ST283 and combine ST283 phylogenies with genetic markers and host association to investigate host switching and the gain and loss of antimicrobial resistance and virulence factor genes. Initial dispersal within Asia followed ST283 emergence in the early 1980s, with Singapore, Thailand and Hong Kong observed as early transmission hubs. Subsequent intercontinental dispersal originating from Vietnam began in the decade commencing 2001, demonstrating ST283 holds potential to expand geographically. Furthermore, we observe bidirectional host switching, with the detection of more frequent human-to-fish than fish-to-human transitions, suggesting that sound wastewater management, hygiene and sanitation may help to interrupt chains of transmission between hosts. We also show that antimicrobial resistance and virulence factor genes were lost more frequently than gained across the evolutionary history of ST283. Our findings highlight the need for enhanced surveillance, clinical awareness, and targeted risk mitigation to limit transmission and reduce the impact of an emerging pathogen associated with a high-growth aquaculture industry.
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Affiliation(s)
- Daniel Schar
- Spatial Epidemiology Laboratory, Université Libre de Bruxelles, Brussels, Belgium
| | - Zhenyu Zhang
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States of America
| | - Joao Pires
- Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland
| | - Bram Vrancken
- Spatial Epidemiology Laboratory, Université Libre de Bruxelles, Brussels, Belgium
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium
| | - Marc A. Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States of America
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, United States of America
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium
| | - Margaret Ip
- Department of Microbiology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Marius Gilbert
- Spatial Epidemiology Laboratory, Université Libre de Bruxelles, Brussels, Belgium
- Fonds National de la Recherche Scientifique, Brussels, Belgium
| | - Thomas Van Boeckel
- Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland
- Center for Diseases Dynamics, Economics, and Policy, New Delhi, India
| | - Simon Dellicour
- Spatial Epidemiology Laboratory, Université Libre de Bruxelles, Brussels, Belgium
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium
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Allel K, Day L, Hamilton A, Lin L, Furuya-Kanamori L, Moore CE, Van Boeckel T, Laxminarayan R, Yakob L. Global antimicrobial-resistance drivers: an ecological country-level study at the human-animal interface. Lancet Planet Health 2023; 7:e291-e303. [PMID: 37019570 DOI: 10.1016/s2542-5196(23)00026-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 01/20/2023] [Accepted: 02/01/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Antimicrobial resistance (AMR) is a pressing, holistic, and multisectoral challenge facing contemporary global health. In this study we assessed the associations between socioeconomic, anthropogenic, and environmental indicators and country-level rates of AMR in humans and food-producing animals. METHODS In this modelling study, we obtained data on Carbapenem-resistant Acinetobacter baumanii and Pseudomonas aeruginosa, third generation cephalosporins-resistant Escherichia coli and Klebsiella pneumoniae, oxacillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus faecium AMR in humans and food-producing animals from publicly available sources, including WHO, World Bank, and Center for Disease Dynamics Economics and Policy. AMR in food-producing animals presented a combined prevalence of AMR exposure in cattle, pigs, and chickens. We used multivariable β regression models to determine the adjusted association between human and food-producing animal AMR rates and an array of ecological country-level indicators. Human AMR rates were classified according to the WHO priority pathogens list and antibiotic-bacterium pairs. FINDINGS Significant associations were identified between animal antimicrobial consumption and AMR in food-producing animals (OR 1·05 [95% CI 1·01-1·10]; p=0·013), and between human antimicrobial consumption and AMR specifically in WHO critical priority (1·06 [1·00-1·12]; p=0·035) and high priority (1·22 [1·09-1·37]; p<0·0001) pathogens. Bidirectional associations were also found: animal antibiotic consumption was positively linked with resistance in critical priority human pathogens (1·07 [1·01-1·13]; p=0·020) and human antibiotic consumption was positively linked with animal AMR (1·05 [1·01-1·09]; p=0·010). Carbapenem-resistant Acinetobacter baumanii, third generation cephalosporins-resistant Escherichia coli, and oxacillin-resistant Staphylococcus aureus all had significant associations with animal antibiotic consumption. Analyses also suggested significant roles of socioeconomics, including governance on AMR rates in humans and animals. INTERPRETATION Reduced rates of antibiotic consumption alone will not be sufficient to combat the rising worldwide prevalence of AMR. Control methods should focus on poverty reduction and aim to prevent AMR transmission across different One Health domains while accounting for domain-specific risk factors. The levelling up of livestock surveillance systems to better match those reporting on human AMR, and, strengthening all surveillance efforts, particularly in low-income and middle-income countries, are pressing priorities. FUNDING None.
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Affiliation(s)
- Kasim Allel
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Antimicrobial Resistance Centre, London School of Hygiene & Tropical Medicine, London, UK; Institute for Global Health, University College London, London, UK.
| | - Lucy Day
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Leesa Lin
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong Special Administrative Region, China; The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Luis Furuya-Kanamori
- Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, QLD, Australia
| | - Catrin E Moore
- The Centre for Neonatal and Paediatric Infection, Infection and Immunity Institute, St George's, University of London, UK
| | - Thomas Van Boeckel
- Eidgenössische Technische Hochschule, Zurich, Health Geography and Policy Group, Zurich, Switzerland
| | - Ramanan Laxminarayan
- The One Health Trust, Washington DC, USA; The High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
| | - Laith Yakob
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK; Antimicrobial Resistance Centre, London School of Hygiene & Tropical Medicine, London, UK
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Babu Rajendran N, Arieti F, Mena-Benítez CA, Galia L, Tebon M, Alvarez J, Gladstone BP, Collineau L, De Angelis G, Duro R, Gaze W, Göpel S, Kanj SS, Käsbohrer A, Limmathurotsakul D, Lopez de Abechuco E, Mazzolini E, Mutters NT, Pezzani MD, Presterl E, Renk H, Rodríguez-Baño J, Săndulescu O, Scali F, Skov R, Velavan TP, Vuong C, Tacconelli E, Avery L, Bonten M, Cassini A, Chauvin C, Compri M, Damborg P, De Greeff S, Del Toro MD, Filter M, Franklin A, Gonzalez-Zorn B, Grave K, Hocquet D, Hoelzle LE, Kalanxhi E, Laxminarayan R, Leibovici L, Malhotra-Kumar S, Mendelson M, Paul M, Muñoz Madero C, Murri R, Piddock LJ, Ruesen C, Sanguinetti M, Schilling T, Schrijver R, Schwaber MJ, Scudeller L, Torumkuney D, Van Boeckel T, Vanderhaeghen W, Voss A, Wozniak T. EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach. Lancet Reg Health Eur 2023; 26:100563. [PMID: 36895445 PMCID: PMC9989632 DOI: 10.1016/j.lanepe.2022.100563] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022]
Abstract
Strategic and standardised approaches to analysis and reporting of surveillance data are essential to inform antimicrobial resistance (AMR) mitigation measures, including antibiotic policies. Targeted guidance on linking full-scale AMR and antimicrobial consumption (AMC)/antimicrobial residues (AR) surveillance data from the human, animal, and environmental sectors is currently needed. This paper describes the initiative whereby a multidisciplinary panel of experts (56 from 20 countries-52 high income, 4 upper middle or lower income), representing all three sectors, elaborated proposals for structuring and reporting full-scale AMR and AMC/AR surveillance data across the three sectors. An evidence-supported, modified Delphi approach was adopted to reach consensus among the experts for dissemination frequency, language, and overall structure of reporting; core elements and metrics for AMC/AR data; core elements and metrics for AMR data. The recommendations can support multisectoral national and regional plans on antimicrobials policy to reduce resistance rates applying a One Health approach.
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Affiliation(s)
- Nithya Babu Rajendran
- Infectious Diseases, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Fabiana Arieti
- Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | | | - Liliana Galia
- Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Maela Tebon
- Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Julio Alvarez
- VISAVET Health Surveillance Center and Department of Animal Health, Faculty of Veterinary Medicine, Complutense University, Madrid, Spain
| | - Beryl Primrose Gladstone
- Infectious Diseases, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.,German Centre for Infection Research (DZIF) Clinical Research Unit for Healthcare Associated and Antibiotic Resistant Bacterial Infections, Tübingen, Germany
| | - Lucie Collineau
- French Agency for Food, Environmental and Occupational Health and Safety, ANSES, Maisons-Alfort, France
| | - Giulia De Angelis
- Dipartimento di Scienze Biotecnologiche di base, Cliniche Intensivologiche e Perioperatorie, Universita Cattolica del Sacro Cuore, Rome, Italy
| | - Raquel Duro
- Unit for the Prevention and Control of Infection and Antimicrobial Resistance, Centro Hospitalar do Tâmega e Sousa, Penafiel, Porto, Portugal
| | - William Gaze
- The European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Penryn, Cornwall, UK
| | - Siri Göpel
- Infectious Diseases, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.,German Centre for Infection Research (DZIF) Clinical Research Unit for Healthcare Associated and Antibiotic Resistant Bacterial Infections, Tübingen, Germany
| | - Souha S Kanj
- Department of Internal Medicine, Division of Infectious Diseases, Infection Control Program, Antimicrobial Stewardship Program, American University of Beirut Medical Center, Beirut, Lebanon
| | - Annemarie Käsbohrer
- German Federal Institute for Risk Assessment (BfR), Department 4 - Biological Safety, Berlin, Germany
| | - Direk Limmathurotsakul
- Mahidol Oxford Tropical Medicine Research Unit and Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Thailand.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, UK
| | | | - Elena Mazzolini
- Department of Epidemiology, Istituto Zooprofilattico Sperimentale delle Venezie, Udine-Padova, Padua, Italy
| | - Nico T Mutters
- Institute for Hygiene and Public Health, Bonn University Hospital, Bonn, Germany.,European Committee on Infection Control, Basel, Switzerland
| | - Maria Diletta Pezzani
- Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Elisabeth Presterl
- European Committee on Infection Control, Basel, Switzerland.,Department of Infection Control and Hospital Epidemiology, Medical University of Vienna, Vienna, Austria.,ESCMID Study Group for Nosocomial Infections, Basel, Switzerland
| | - Hanna Renk
- Department of Paediatric Cardiology, Pulmology and Intensive Care Medicine, University Children's Hospital Tübingen, Tübingen, Germany
| | - Jesús Rodríguez-Baño
- Infectious Diseases and Microbiology Division, Hospital Universitario Virgen Macarena/Department of Medicine, School of Medicine, University of Seville/Biomedicine Institute of Seville (IBiS)/CSIC, Seville, Spain.,CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Oana Săndulescu
- Department of Infectious Diseases I, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.,National Institute for Infectious Diseases "Prof. Dr. Matei Balș", Bucharest, Romania
| | - Federico Scali
- Istituto Zooprofilattico Sperimentale della Lombardia e Dell'Emilia Romagna, Brescia, Italy
| | - Robert Skov
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Thirumalaisamy P Velavan
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Tübingen, Germany.,Vietnamese - German Center for Medical Research, Hanoi, Vietnam
| | - Cuong Vuong
- AiCuris Anti-infective Cures GmbH, Wuppertal, Germany.,Jansen Pharmaceuticals, Beerse, Belgium
| | - Evelina Tacconelli
- Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.,European Committee on Infection Control, Basel, Switzerland
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Lunha K, Leangapichart T, Jiwakanon J, Angkititrakul S, Sunde M, Järhult JD, Ström Hallenberg G, Hickman RA, Van Boeckel T, Magnusson U. Antimicrobial Resistance in Fecal Escherichia coli from Humans and Pigs at Farms at Different Levels of Intensification. Antibiotics (Basel) 2020; 9:E662. [PMID: 33008077 PMCID: PMC7650604 DOI: 10.3390/antibiotics9100662] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/28/2020] [Accepted: 09/29/2020] [Indexed: 12/02/2022] Open
Abstract
The overall aim of the current study was to test the hypotheses that (i) antibiotic resistance in bacteria were more frequent in clinically health pigs in intensified company owned, medium-scale farms (MSFs) (100-500 sows) than in pigs in family-owned, small-scale farms (SSFs) (1-50 sows) and (ii) that farmers working at the MSFs were more prone to attain antibiotic resistant bacteria than farmers working at SSFs. The study was conducted in North-Eastern Thailand, comprising fecal Escherichia coli isolates from pigs, farmers working with the pigs (contact humans) and persons living in the same household as the farmer (non-contact humans) at 51 MSFs and 113 SSFs. Samples from all farms were also screened for methicillin-resistant staphylococcus aureus (MRSA), which was not detected in pig samples, but was found in one human sample. Susceptibility was tested by disc-diffusion for seven antibiotics commonly used in the study area. Resistance in pig isolates from MSFs were more frequent for chloramphenicol which (P < 0.001), trimethoprim/sulfamethoxazole (P < 0.001) and gentamicin (P < 0.05) compared with isolates from SSFs, whereas the opposite was true for tetracycline (P < 0.01). Resistance in the human isolates was lower than those in the isolates from pigs for tetracycline, trimethoprim/sulfamethoxazole and chloramphenicol (P < 0.001). The frequency of resistance in the contact human samples from SSFs and MSFs did not differ. There was no difference between isolates from contact and non-contact humans for any of the tested antibiotics. Multidrug resistance in isolates from pigs was 26%, significantly higher (P < 0.01) than the 13% from humans. The data indicate that (i) resistance to antibiotics, including those critical and highly important for human medicine, were more common in fecal E. coli from pigs at the MSFs than at the SSFs, whereas (ii) the resistance in fecal E. coli from pig farmers seemed not to be influenced by the level of intensification of the farm they were working at.
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Affiliation(s)
- Kamonwan Lunha
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden; (K.L.); (G.S.H.)
| | - Thongpan Leangapichart
- Section for Food Safety and AMR, Norwegian Veterinary Institute, N-0106 Oslo, Norway; (T.L.); (M.S.)
| | - Jatesada Jiwakanon
- Research Group for Animal Health Technology, Khon Kaen University, Khon Kaen 40002, Thailand; (J.J.); (S.A.)
| | - Sunpetch Angkititrakul
- Research Group for Animal Health Technology, Khon Kaen University, Khon Kaen 40002, Thailand; (J.J.); (S.A.)
| | - Marianne Sunde
- Section for Food Safety and AMR, Norwegian Veterinary Institute, N-0106 Oslo, Norway; (T.L.); (M.S.)
| | - Josef D. Järhult
- Department of Medical Sciences, Uppsala University, SE-751 85 Uppsala, Sweden;
| | - Gunilla Ström Hallenberg
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden; (K.L.); (G.S.H.)
| | - Rachel A. Hickman
- Department of Biomedical Chemistry and Microbiology, Uppsala University, SE-752 37 Uppsala, Sweden;
| | - Thomas Van Boeckel
- Institute for Environmental Decisions, ETH, 8092 Zurich, Switzerland;
- Center for Diseases Dynamics Economics and Policy, Washington, DC 20005, USA
| | - Ulf Magnusson
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden; (K.L.); (G.S.H.)
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Zhao C, Tepekule B, Criscuolo NG, Wendel Garcia PD, Hilty MP, Risc-Icu Consortium Investigators In Switzerland, Fumeaux T, Van Boeckel T. icumonitoring.ch: a platform for short-term forecasting of intensive care unit occupancy during the COVID-19 epidemic in Switzerland. Swiss Med Wkly 2020; 150:w20277. [PMID: 32374886 DOI: 10.4414/smw.2020.20277] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
In Switzerland, the COVID-19 epidemic is progressively slowing down owing to “social distancing” measures introduced by the Federal Council on 16 March 2020. However, the gradual ease of these measures may initiate a second epidemic wave, the length and intensity of which are difficult to anticipate. In this context, hospitals must prepare for a potential increase in intensive care unit (ICU) admissions of patients with acute respiratory distress syndrome. Here, we introduce icumonitoring.ch, a platform providing hospital-level projections for ICU occupancy. We combined current data on the number of beds and ventilators with canton-level projections of COVID-19 cases from two S-E-I-R models. We disaggregated epidemic projection in each hospital in Switzerland for the number of COVID-19 cases, hospitalisations, hospitalisations in ICU, and ventilators in use. The platform is updated every 3-4 days and can incorporate projections from other modelling teams to inform decision makers with a range of epidemic scenarios for future hospital occupancy.
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Affiliation(s)
- Cheng Zhao
- Health Geography and Policy Group, ETH Zürich, Switzerland
| | | | | | | | - Matthias P Hilty
- Institute of Intensive Care Medicine, University Hospital of Zurich, Switzerland
| | | | - Thierry Fumeaux
- Service de médecine et des soins intensifs, Hôpital de Nyon, Switzerland / President, Swiss Society of Intensive Care Medicine
| | - Thomas Van Boeckel
- Health Geography and Policy Group, ETH Zürich, Switzerland / Centre for Disease Dynamics Economics and Policy, New Delhi, India
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7
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Laxminarayan R, Van Boeckel T, Frost I, Kariuki S, Khan EA, Limmathurotsakul D, Larsson DGJ, Levy-Hara G, Mendelson M, Outterson K, Peacock SJ, Zhu YG. The Lancet Infectious Diseases Commission on antimicrobial resistance: 6 years later. Lancet Infect Dis 2020; 20:e51-e60. [PMID: 32059790 DOI: 10.1016/s1473-3099(20)30003-7] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 01/02/2020] [Accepted: 01/06/2020] [Indexed: 12/21/2022]
Abstract
In 2013, a Lancet Infectious Diseases Commission described the state of antimicrobial resistance worldwide. Since then, greater awareness of the public health ramifications of antimicrobial resistance has led to national actions and global initiatives, including a resolution at the high-level meeting of the UN General Assembly in 2016. Progress in addressing this issue has ranged from a ban on irrational drug combinations in India to commitments to ban colistin as a growth promoter in animals, improve hospital infection control, and implement better antimicrobial stewardship. Funds have been mobilised, and regulatory barriers to new antibiotic development have been relaxed. These efforts have been episodic and uneven across countries, however. Sustained funding for antimicrobial resistance and globally harmonised targets to monitor progress are still urgently needed. Except for in a few leading countries, antimicrobial resistance has not captured the sustained focus of national leaders and country-level actors, including care providers.
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Affiliation(s)
- Ramanan Laxminarayan
- Centre for Disease Dynamics, Economics & Policy, New Delhi, India; Princeton Environmental Institute, Princeton University, Princeton, NJ, USA.
| | - Thomas Van Boeckel
- Institute for Environmental Decisions, Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland
| | - Isabel Frost
- Centre for Disease Dynamics, Economics & Policy, New Delhi, India; Faculty of Medicine, Department of Infectious Disease, Imperial College, London, UK
| | | | - Ejaz Ahmed Khan
- Shifa International Hospital, Shifa Tameer-e-Millat University, Islamabad, Pakistan
| | | | - D G Joakim Larsson
- Institute for Biomedicine, Department of Infectious Diseases, Centre for Antibiotic Resistance Research, University of Gothenburg, Gothenburg, Sweden
| | - Gabriel Levy-Hara
- Infectious Disease Unit, Hospital Carlos G Durand, Buenos Aires, Argentina
| | - Marc Mendelson
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
| | | | | | - Yong-Guan Zhu
- State Key Lab of Urban and Regional Ecology, Research Centre for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, China
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Van Boeckel T, Do Couto Pires J, Zhao C, Silvester R, Gilbert M, Bonhoeffer S, Laxminarayan R, Song J. A global map of antimicrobial resistance in animals raised for food. Front Vet Sci 2019. [DOI: 10.3389/conf.fvets.2019.05.00092] [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: 11/13/2022] Open
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Van Boeckel T, Laxminarayan R. Correction to global antibiotic consumption data. Lancet Infect Dis 2018; 17:476-477. [PMID: 28447946 DOI: 10.1016/s1473-3099(17)30187-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 03/14/2017] [Indexed: 11/16/2022]
Affiliation(s)
| | - Ramanan Laxminarayan
- Center for Disease Dynamics, Economics, and Policy, Washington, DC, USA; Princeton Environment Institute, Princeton University, Princeton, NJ, USA
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Van Boeckel T, Laxminarayan R. Response. Science 2017; 358:1548. [DOI: 10.1126/science.aar2336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Sinka ME, Rubio-Palis Y, Manguin S, Patil AP, Temperley WH, Gething PW, Van Boeckel T, Kabaria CW, Harbach RE, Hay SI. Erratum to: The dominant Anopheles vectors of human malaria in the Americas: occurrence data, distribution maps and bionomic précis. Parasit Vectors 2011. [PMCID: PMC3217898 DOI: 10.1186/1756-3305-4-210] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Sinka ME, Bangs MJ, Manguin S, Coetzee M, Mbogo CM, Hemingway J, Patil AP, Temperley WH, Gething PW, Kabaria CW, Okara RM, Van Boeckel T, Godfray HCJ, Harbach RE, Hay SI. The dominant Anopheles vectors of human malaria in Africa, Europe and the Middle East: occurrence data, distribution maps and bionomic précis. Parasit Vectors 2010; 3:117. [PMID: 21129198 PMCID: PMC3016360 DOI: 10.1186/1756-3305-3-117] [Citation(s) in RCA: 394] [Impact Index Per Article: 28.1] [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: 10/26/2010] [Accepted: 12/03/2010] [Indexed: 11/10/2022] Open
Abstract
Background This is the second in a series of three articles documenting the geographical distribution of 41 dominant vector species (DVS) of human malaria. The first paper addressed the DVS of the Americas and the third will consider those of the Asian Pacific Region. Here, the DVS of Africa, Europe and the Middle East are discussed. The continent of Africa experiences the bulk of the global malaria burden due in part to the presence of the An. gambiae complex. Anopheles gambiae is one of four DVS within the An. gambiae complex, the others being An. arabiensis and the coastal An. merus and An. melas. There are a further three, highly anthropophilic DVS in Africa, An. funestus, An. moucheti and An. nili. Conversely, across Europe and the Middle East, malaria transmission is low and frequently absent, despite the presence of six DVS. To help control malaria in Africa and the Middle East, or to identify the risk of its re-emergence in Europe, the contemporary distribution and bionomics of the relevant DVS are needed. Results A contemporary database of occurrence data, compiled from the formal literature and other relevant resources, resulted in the collation of information for seven DVS from 44 countries in Africa containing 4234 geo-referenced, independent sites. In Europe and the Middle East, six DVS were identified from 2784 geo-referenced sites across 49 countries. These occurrence data were combined with expert opinion ranges and a suite of environmental and climatic variables of relevance to anopheline ecology to produce predictive distribution maps using the Boosted Regression Tree (BRT) method. Conclusions The predicted geographic extent for the following DVS (or species/suspected species complex*) is provided for Africa: Anopheles (Cellia) arabiensis, An. (Cel.) funestus*, An. (Cel.) gambiae, An. (Cel.) melas, An. (Cel.) merus, An. (Cel.) moucheti and An. (Cel.) nili*, and in the European and Middle Eastern Region: An. (Anopheles) atroparvus, An. (Ano.) labranchiae, An. (Ano.) messeae, An. (Ano.) sacharovi, An. (Cel.) sergentii and An. (Cel.) superpictus*. These maps are presented alongside a bionomics summary for each species relevant to its control.
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Affiliation(s)
- Marianne E Sinka
- Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.
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Sinka ME, Rubio-Palis Y, Manguin S, Patil AP, Temperley WH, Gething PW, Van Boeckel T, Kabaria CW, Harbach RE, Hay SI. The dominant Anopheles vectors of human malaria in the Americas: occurrence data, distribution maps and bionomic précis. Parasit Vectors 2010; 3:72. [PMID: 20712879 PMCID: PMC2936890 DOI: 10.1186/1756-3305-3-72] [Citation(s) in RCA: 214] [Impact Index Per Article: 15.3] [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] [Received: 07/06/2010] [Accepted: 08/16/2010] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND An increasing knowledge of the global risk of malaria shows that the nations of the Americas have the lowest levels of Plasmodium falciparum and P. vivax endemicity worldwide, sustained, in part, by substantive integrated vector control. To help maintain and better target these efforts, knowledge of the contemporary distribution of each of the dominant vector species (DVS) of human malaria is needed, alongside a comprehensive understanding of the ecology and behaviour of each species. RESULTS A database of contemporary occurrence data for 41 of the DVS of human malaria was compiled from intensive searches of the formal and informal literature. The results for the nine DVS of the Americas are described in detail here. Nearly 6000 occurrence records were gathered from 25 countries in the region and were complemented by a synthesis of published expert opinion range maps, refined further by a technical advisory group of medical entomologists. A suite of environmental and climate variables of suspected relevance to anopheline ecology were also compiled from open access sources. These three sets of data were then combined to produce predictive species range maps using the Boosted Regression Tree method. The predicted geographic extent for each of the following species (or species complex*) are provided: Anopheles (Nyssorhynchus) albimanus Wiedemann, 1820, An. (Nys.) albitarsis*, An. (Nys.) aquasalis Curry, 1932, An. (Nys.) darlingi Root, 1926, An. (Anopheles) freeborni Aitken, 1939, An. (Nys.) marajoara Galvão & Damasceno, 1942, An. (Nys.) nuneztovari*, An. (Ano.) pseudopunctipennis* and An. (Ano.) quadrimaculatus Say, 1824. A bionomics review summarising ecology and behaviour relevant to the control of each of these species was also compiled. CONCLUSIONS The distribution maps and bionomics review should both be considered as a starting point in an ongoing process of (i) describing the distributions of these DVS (since the opportunistic sample of occurrence data assembled can be substantially improved) and (ii) documenting their contemporary bionomics (since intervention and control pressures can act to modify behavioural traits). This is the first in a series of three articles describing the distribution of the 41 global DVS worldwide. The remaining two publications will describe those vectors found in (i) Africa, Europe and the Middle East and (ii) in Asia. All geographic distribution maps are being made available in the public domain according to the open access principles of the Malaria Atlas Project.
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Affiliation(s)
- Marianne E Sinka
- Spatial Ecology and Epidemiology Group, Tinbergen Building, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.
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