1
|
Anker JCH, Koch A, Ethelberg S, Mølbak K, Larsen J, Jepsen MR. Distance to pig farms as risk factor for community-onset livestock-associated MRSA CC398 infection in persons without known contact to pig farms-A nationwide study. Zoonoses Public Health 2018; 65:352-360. [PMID: 29314752 DOI: 10.1111/zph.12441] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Indexed: 11/30/2022]
Abstract
MRSA CC398 is an emerging MRSA strain found in livestock, mainly in pigs. Direct occupational livestock contact is the principal risk factor for human MRSA CC398 infection. Nonetheless, in recent years, an increasing number of MRSA CC398 cases has been observed in persons without known pig contact. Such cases, referred to as MRSA CC398 of unknown origin (MUO CC398), have, like livestock-onset (LO) MRSA CC398 cases, been found concentrated in rural, livestock-producing areas. The presence of MUO CC398 cases indicates alternative and unknown MRSA CC398 transmission pathways into the community. We performed a nationwide study in Denmark of the geographic distributions of MRSA cases in general and persons with MUO CC398 or LO MRSA CC398 infections (1 January 2006-11 February 2015), with the Danish population as background population. Place of living of study persons was mapped using the ArcGIS software, and information on pig farms was retrieved from the Central Husbandry Register. The incidence of MUO CC398 infections was clearly higher in rural than in urban areas, and such cases lived on average closer to pig farms than the general population. However, within three pig-farming-dense municipalities, patients with MUO CC398 infections did not live closer to pig farms than population controls. This shows that direct environmental spread from neighbouring pig farms of MRSA CC398 is unlikely. Instead, community spread through other means of transmission than direct spread from farms may more likely explain the clustering of MUO CC398 in livestock-dense areas.
Collapse
Affiliation(s)
- J C H Anker
- Statens Serum Institut, Copenhagen, Denmark.,University of Copenhagen, Copenhagen, Denmark
| | - A Koch
- Statens Serum Institut, Copenhagen, Denmark
| | | | - K Mølbak
- Statens Serum Institut, Copenhagen, Denmark
| | - J Larsen
- Statens Serum Institut, Copenhagen, Denmark
| | - M R Jepsen
- University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
2
|
Brisson M, Bénard É, Drolet M, Bogaards JA, Baussano I, Vänskä S, Jit M, Boily MC, Smith MA, Berkhof J, Canfell K, Chesson HW, Burger EA, Choi YH, De Blasio BF, De Vlas SJ, Guzzetta G, Hontelez JAC, Horn J, Jepsen MR, Kim JJ, Lazzarato F, Matthijsse SM, Mikolajczyk R, Pavelyev A, Pillsbury M, Shafer LA, Tully SP, Turner HC, Usher C, Walsh C. Population-level impact, herd immunity, and elimination after human papillomavirus vaccination: a systematic review and meta-analysis of predictions from transmission-dynamic models. Lancet Public Health 2016; 1:e8-e17. [PMID: 29253379 PMCID: PMC6727207 DOI: 10.1016/s2468-2667(16)30001-9] [Citation(s) in RCA: 173] [Impact Index Per Article: 21.6] [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: 07/04/2016] [Revised: 08/26/2016] [Accepted: 08/30/2016] [Indexed: 01/17/2023]
Abstract
BACKGROUND Modelling studies have been widely used to inform human papillomavirus (HPV) vaccination policy decisions; however, many models exist and it is not known whether they produce consistent predictions of population-level effectiveness and herd effects. We did a systematic review and meta-analysis of model predictions of the long-term population-level effectiveness of vaccination against HPV 16, 18, 6, and 11 infection in women and men, to examine the variability in predicted herd effects, incremental benefit of vaccinating boys, and potential for HPV-vaccine-type elimination. METHODS We searched MEDLINE and Embase for transmission-dynamic modelling studies published between Jan 1, 2009, and April 28, 2015, that predicted the population-level impact of vaccination on HPV 6, 11, 16, and 18 infections in high-income countries. We contacted authors to determine whether they were willing to produce new predictions for standardised scenarios. Strategies investigated were girls-only vaccination and girls and boys vaccination at age 12 years. Base-case vaccine characteristics were 100% efficacy and lifetime protection. We did sensitivity analyses by varying vaccination coverage, vaccine efficacy, and duration of protection. For all scenarios we pooled model predictions of relative reductions in HPV prevalence (RRprev) over time after vaccination and summarised results using the median and 10th and 90th percentiles (80% uncertainty intervals [UI]). FINDINGS 16 of 19 eligible models from ten high-income countries provided predictions. Under base-case assumptions, 40% vaccination coverage and girls-only vaccination, the RRprev of HPV 16 among women and men was 0·53 (80% UI 0·46-0·68) and 0·36 (0·28-0·61), respectively, after 70 years. With 80% girls-only vaccination coverage, the RRprev of HPV 16 among women and men was 0·93 (0·90-1·00) and 0·83 (0·75-1·00), respectively. Vaccinating boys in addition to girls increased the RRprev of HPV 16 among women and men by 0·18 (0·13-0·32) and 0·35 (0·27-0·39) for 40% coverage, and 0·07 (0·00-0·10) and 0·16 (0·01-0·25) for 80% coverage, respectively. The RRprev were greater for HPV 6, 11, and 18 than for HPV 16 for all scenarios investigated. Finally at 80% coverage, most models predicted that girls and boys vaccination would eliminate HPV 6, 11, 16, and 18, with a median RRprev of 1·00 for women and men for all four HPV types. Variability in pooled findings was low, but increased with lower vaccination coverage and shorter vaccine protection (from lifetime to 20 years). INTERPRETATION Although HPV models differ in structure, data used for calibration, and settings, our population-level predictions were generally concordant and suggest that strong herd effects are expected from vaccinating girls only, even with coverage as low as 20%. Elimination of HPV 16, 18, 6, and 11 is possible if 80% coverage in girls and boys is reached and if high vaccine efficacy is maintained over time. FUNDING Canadian Institutes of Health Research.
Collapse
Affiliation(s)
- Marc Brisson
- Centre de recherche du CHU de Québec-Université Laval, Quebec City, QC, Canada; Département de médecine sociale et préventive, Université Laval, Quebec City, QC, Canada; Department of Infectious Disease Epidemiology, Imperial College, London, UK.
| | - Élodie Bénard
- Centre de recherche du CHU de Québec-Université Laval, Quebec City, QC, Canada; Département de médecine sociale et préventive, Université Laval, Quebec City, QC, Canada
| | - Mélanie Drolet
- Centre de recherche du CHU de Québec-Université Laval, Quebec City, QC, Canada
| | - Johannes A Bogaards
- Centre for Infectious Disease Control, National Institute of Public Health and the Environment, Bilthoven, Netherlands
| | - Iacopo Baussano
- Infection and Cancer Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Simopekka Vänskä
- Vaccination Programme Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Mark Jit
- Modelling and Economics Unit, Public Health England, London, UK; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Marie-Claude Boily
- Département de médecine sociale et préventive, Université Laval, Quebec City, QC, Canada; Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Megan A Smith
- Cancer Research Division, Cancer Council NSW, Sydney, NSW, Australia
| | - Johannes Berkhof
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, Netherlands
| | - Karen Canfell
- Cancer Research Division, Cancer Council NSW, Sydney, NSW, Australia; Lowy Cancer Research Centre, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Harrell W Chesson
- Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emily A Burger
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Health Management and Health Economics, University of Oslo, Oslo, Norway
| | - Yoon H Choi
- National Infection Service, Public Health England, London, UK
| | - Birgitte Freiesleben De Blasio
- Oslo Centre for Biostatistics and Epidemiology, Division of Infectious Disease Control, Norwegian Institute of Public Health and Oslo Centre for Statistics and Epidemiology, Oslo, Norway; Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Sake J De Vlas
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Jan A C Hontelez
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Johannes Horn
- Epidemiological and Statistical Methods Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Martin R Jepsen
- Section for Geography, Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jane J Kim
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Fulvio Lazzarato
- Infection and Cancer Epidemiology Group, International Agency for Research on Cancer, Lyon, France; Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Suzette M Matthijsse
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Rafael Mikolajczyk
- Epidemiological and Statistical Methods Research Group, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | | | - Leigh Anne Shafer
- Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Stephen P Tully
- Infection and Cancer Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Hugo C Turner
- Department of Infectious Disease Epidemiology, Imperial College, London, UK
| | - Cara Usher
- National Centre for Pharmacoeconomics (NCPE Ireland), Dublin, Ireland
| | - Cathal Walsh
- Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland
| |
Collapse
|
3
|
Kuemmerle T, Erb K, Meyfroidt P, Müller D, Verburg PH, Estel S, Haberl H, Hostert P, Jepsen MR, Kastner T, Levers C, Lindner M, Plutzar C, Verkerk PJ, van der Zanden EH, Reenberg A. Challenges and opportunities in mapping land use intensity globally. Curr Opin Environ Sustain 2013; 5:484-493. [PMID: 24143157 PMCID: PMC3798043 DOI: 10.1016/j.cosust.2013.06.002] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Future increases in land-based production will need to focus more on sustainably intensifying existing production systems. Unfortunately, our understanding of the global patterns of land use intensity is weak, partly because land use intensity is a complex, multidimensional term, and partly because we lack appropriate datasets to assess land use intensity across broad geographic extents. Here, we review the state of the art regarding approaches for mapping land use intensity and provide a comprehensive overview of available global-scale datasets on land use intensity. We also outline major challenges and opportunities for mapping land use intensity for cropland, grazing, and forestry systems, and identify key issues for future research.
Collapse
Affiliation(s)
- Tobias Kuemmerle
- Geography Department, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany
- Earth System Analysis, Potsdam Institute for Climate Impact Research, 14412 Potsdam, Germany
| | - Karlheinz Erb
- Institute of Social Ecology Vienna (SEC), Alpen-Adria Universität Klagenfurt, Wien, Graz, 1070 Vienna, Austria
| | - Patrick Meyfroidt
- Georges Lemaitre Earth and Climate Research Center, Earth and Life Institute, F.R.S-FNRS & Université Catholique de Louvain, 1348 Louvain-La-Neuve, Belgium
| | - Daniel Müller
- Geography Department, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany
- Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO), Theodor-Lieser-Str. 2, 06120 Halle (Saale), Germany
| | - Peter H Verburg
- Institute for Environmental Studies, Amsterdam Global Change Institute, VU University, Amsterdam, The Netherlands
| | - Stephan Estel
- Geography Department, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany
| | - Helmut Haberl
- Institute of Social Ecology Vienna (SEC), Alpen-Adria Universität Klagenfurt, Wien, Graz, 1070 Vienna, Austria
| | - Patrick Hostert
- Geography Department, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany
| | - Martin R. Jepsen
- Department of Geography and Geology, University of Copenhagen, Øster Voldgade 10, DK-1350 Copenhagen, Denmark
| | - Thomas Kastner
- Institute of Social Ecology Vienna (SEC), Alpen-Adria Universität Klagenfurt, Wien, Graz, 1070 Vienna, Austria
| | - Christian Levers
- Geography Department, Humboldt-University Berlin, Unter den Linden 6, 10099 Berlin, Germany
| | - Marcus Lindner
- European Forest Institute (EFI), Sustainability and Climate Change Programme, Torikatu 34, 80100 Joensuu, Finland
| | - Christoph Plutzar
- Institute of Social Ecology Vienna (SEC), Alpen-Adria Universität Klagenfurt, Wien, Graz, 1070 Vienna, Austria
| | - Pieter Johannes Verkerk
- European Forest Institute (EFI), Sustainability and Climate Change Programme, Torikatu 34, 80100 Joensuu, Finland
| | - Emma H van der Zanden
- Institute for Environmental Studies, Amsterdam Global Change Institute, VU University, Amsterdam, The Netherlands
| | - Anette Reenberg
- Department of Geography and Geology, University of Copenhagen, Øster Voldgade 10, DK-1350 Copenhagen, Denmark
| |
Collapse
|