World Health Organization Estimates of the Relative Contributions of Food to the Burden of Disease Due to Selected Foodborne Hazards: A Structured Expert Elicitation
The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most...
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Published in | PloS one Vol. 11; no. 1; p. e0145839 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
19.01.2016
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0145839 |
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Abstract | The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food.
We applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5th, and 50th and 95th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5th, 50th, and 95th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region.
For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. |
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AbstractList | Background: The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food. Methods and Findings: We applied structured expert judgment using Cooke’s Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific ‘seed’ questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5ᵗʰ, and 50ᵗʰ and 95ᵗʰ percentile responses to seed questions through telephone interviews. Cooke’s Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5ᵗʰ, 50ᵗʰ, and 95ᵗʰ percentile estimates for the ‘target’ questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region. Conclusions: For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food.BACKGROUNDThe Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food.We applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5th, and 50th and 95th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5th, 50th, and 95th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region.METHODS AND FINDINGSWe applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5th, and 50th and 95th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5th, 50th, and 95th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region.For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives.CONCLUSIONSFor the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. Background The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food. Methods and Findings We applied structured expert judgment using Cooke’s Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific ‘seed’ questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5th, and 50th and 95th percentile responses to seed questions through telephone interviews. Cooke’s Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5th, 50th, and 95th percentile estimates for the ‘target’ questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region. Conclusions For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food. We applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5th, and 50th and 95th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5th, 50th, and 95th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region. For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. Background The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food. Methods and Findings We applied structured expert judgment using Cooke’s Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific ‘seed’ questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5 th , and 50 th and 95 th percentile responses to seed questions through telephone interviews. Cooke’s Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5 th , 50 th , and 95 th percentile estimates for the ‘target’ questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii ) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae ) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region. Conclusions For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food. We applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5.sup.th, and 50.sup.th and 95.sup.th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5.sup.th, 50.sup.th, and 95.sup.th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region. For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. Background The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food. Methods and Findings We applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5.sup.th, and 50.sup.th and 95.sup.th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5.sup.th, 50.sup.th, and 95.sup.th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region. Conclusions For the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. BackgroundThe Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization (WHO) to estimate the global burden of foodborne diseases (FBDs). This estimation is complicated because most of the hazards causing FBD are not transmitted solely by food; most have several potential exposure routes consisting of transmission from animals, by humans, and via environmental routes including water. This paper describes an expert elicitation study conducted by the FERG Source Attribution Task Force to estimate the relative contribution of food to the global burden of diseases commonly transmitted through the consumption of food.Methods and findingsWe applied structured expert judgment using Cooke's Classical Model to obtain estimates for 14 subregions for the relative contributions of different transmission pathways for eleven diarrheal diseases, seven other infectious diseases and one chemical (lead). Experts were identified through international networks followed by social network sampling. Final selection of experts was based on their experience including international working experience. Enrolled experts were scored on their ability to judge uncertainty accurately and informatively using a series of subject-matter specific 'seed' questions whose answers are unknown to the experts at the time they are interviewed. Trained facilitators elicited the 5th, and 50th and 95th percentile responses to seed questions through telephone interviews. Cooke's Classical Model uses responses to the seed questions to weigh and aggregate expert responses. After this interview, the experts were asked to provide 5th, 50th, and 95th percentile estimates for the 'target' questions regarding disease transmission routes. A total of 72 experts were enrolled in the study. Ten panels were global, meaning that the experts should provide estimates for all 14 subregions, whereas the nine panels were subregional, with experts providing estimates for one or more subregions, depending on their experience in the region. The size of the 19 hazard-specific panels ranged from 6 to 15 persons with several experts serving on more than one panel. Pathogens with animal reservoirs (e.g. non-typhoidal Salmonella spp. and Toxoplasma gondii) were in general assessed by the experts to have a higher proportion of illnesses attributable to food than pathogens with mainly a human reservoir, where human-to-human transmission (e.g. Shigella spp. and Norovirus) or waterborne transmission (e.g. Salmonella Typhi and Vibrio cholerae) were judged to dominate. For many pathogens, the foodborne route was assessed relatively more important in developed subregions than in developing subregions. The main exposure routes for lead varied across subregions, with the foodborne route being assessed most important only in two subregions of the European region.ConclusionsFor the first time, we present worldwide estimates of the proportion of specific diseases attributable to food and other major transmission routes. These findings are essential for global burden of FBD estimates. While gaps exist, we believe the estimates presented here are the best current source of guidance to support decision makers when allocating resources for control and intervention, and for future research initiatives. |
Audience | Academic |
Author | Kirk, Martyn D. Angulo, Fred J. Speybroeck, Niko Hoffmann, Sandra Havelaar, Arie H. Torgerson, Paul R. Hald, Tine Devleesschauwer, Brecht Aspinall, Willy Cooke, Roger Lake, Robin J. Gibb, Herman J. Corrigan, Tim |
AuthorAffiliation | 3 Bristol University, Bristol, England 1 Technical University of Denmark, Lyngby, Denmark 14 University of Zurich, Zurich, Switzerland 9 World Health Organization, Geneva, Switzerland 6 Institute of Tropical Medicine, Antwerp, Belgium 7 Resources for the Future, Washington, District of Columbia, United States of America University of Minnesota, UNITED STATES 16 U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America 2 Aspinall & Associates, Tisbury, England 15 The Australian National University, Canberra, Australia 8 Technical University of Delft, Delft, the Netherlands 11 University of Florida, Gainesville, Florida, United States of America 4 Ghent University, Merelbeke, Belgium 12 Utrecht University, Utrecht, Netherlands 13 Gibb Epidemiology Consulting LLC, Arlington, Virginia, United States of America 5 Université catholique de Louvain, Brussels, Belgium 10 National Institute for Public Health and the Environment, Bilthoven, the Netherlands 18 U.S. Dept. of Agricu |
AuthorAffiliation_xml | – name: 1 Technical University of Denmark, Lyngby, Denmark – name: 14 University of Zurich, Zurich, Switzerland – name: 10 National Institute for Public Health and the Environment, Bilthoven, the Netherlands – name: 18 U.S. Dept. of Agriculture, Economic Research Service, Washington, District of Columbia, United States of America – name: 5 Université catholique de Louvain, Brussels, Belgium – name: 9 World Health Organization, Geneva, Switzerland – name: 13 Gibb Epidemiology Consulting LLC, Arlington, Virginia, United States of America – name: 16 U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America – name: 8 Technical University of Delft, Delft, the Netherlands – name: 7 Resources for the Future, Washington, District of Columbia, United States of America – name: 12 Utrecht University, Utrecht, Netherlands – name: 15 The Australian National University, Canberra, Australia – name: 2 Aspinall & Associates, Tisbury, England – name: 3 Bristol University, Bristol, England – name: 4 Ghent University, Merelbeke, Belgium – name: University of Minnesota, UNITED STATES – name: 6 Institute of Tropical Medicine, Antwerp, Belgium – name: 11 University of Florida, Gainesville, Florida, United States of America – name: 17 Institute of Environmental Science and Research, Christchurch, New Zealand |
Author_xml | – sequence: 1 givenname: Tine surname: Hald fullname: Hald, Tine – sequence: 2 givenname: Willy surname: Aspinall fullname: Aspinall, Willy – sequence: 3 givenname: Brecht surname: Devleesschauwer fullname: Devleesschauwer, Brecht – sequence: 4 givenname: Roger surname: Cooke fullname: Cooke, Roger – sequence: 5 givenname: Tim surname: Corrigan fullname: Corrigan, Tim – sequence: 6 givenname: Arie H. surname: Havelaar fullname: Havelaar, Arie H. – sequence: 7 givenname: Herman J. surname: Gibb fullname: Gibb, Herman J. – sequence: 8 givenname: Paul R. surname: Torgerson fullname: Torgerson, Paul R. – sequence: 9 givenname: Martyn D. surname: Kirk fullname: Kirk, Martyn D. – sequence: 10 givenname: Fred J. surname: Angulo fullname: Angulo, Fred J. – sequence: 11 givenname: Robin J. surname: Lake fullname: Lake, Robin J. – sequence: 12 givenname: Niko surname: Speybroeck fullname: Speybroeck, Niko – sequence: 13 givenname: Sandra surname: Hoffmann fullname: Hoffmann, Sandra |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26784029$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1093/ije/dyq035 10.3201/eid1701.P11101 10.1111/j.0272-4332.2004.00427.x 10.1017/S0950268813002719 10.1089/fpd.2010.0786 10.1371/journal.pgen.1000203 10.1371/journal.pntd.0000161 10.2903/j.efsa.2013.3502 10.1038/463294a 10.1016/j.ijfoodmicro.2011.04.018 10.1016/j.ress.2011.05.012 10.1089/fpd.2010.0714 10.1080/1366987042000192237 10.1089/fpd.2008.0115 10.1017/S0950268811002172 10.1017/S0950268814001903 10.1089/fpd.2008.0208 10.1089/fpd.2010.0582 10.1080/15287394.2011.529783 10.1016/j.ress.2005.11.054 10.1021/es9028217 10.3201/eid1903.111866 10.1017/S0950268811002676 10.1111/j.1539-6924.2009.01224.x 10.1111/j.0272-4332.2004.00546.x 10.1017/S0950268809990367 10.1016/j.jvolgeores.2008.05.014 10.1016/j.ress.2007.03.005 10.1089/fpd.2014.1746 10.1016/j.jvolgeores.2008.08.015 10.1016/S0140-6736(02)11403-6 10.1089/fpd.2009.0439 10.4315/0362-028X-70.5.1220 10.1016/j.ijfoodmicro.2009.10.014 10.1089/fpd.2012.1134 10.1504/IJRAM.2012.047552 10.1023/B:CLIM.0000037561.75281.b3 10.1111/j.0272-4332.2005.00571.x 10.1016/j.ress.2007.03.017 10.1111/j.1539-6924.2009.01269.x 10.1111/j.1539-6924.2009.01291.x 10.1089/fpd.2014.1744 10.1111/j.1863-2378.2007.01036.x 10.1089/fpd.2010.0564 10.1111/j.1539-6924.2005.00689.x 10.1038/nclimate2466 10.1038/nclimate1778 10.1093/oxfordjournals.rpd.a033152 10.1504/IJRAM.2008.016151 10.3201/eid1709.101766 |
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Copyright | COPYRIGHT 2016 Public Library of Science 2016 World Health Organization. This is an open access article distributed under the Creative Commons Attribution IGO License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/license: http://creativecommons.org/licenses/by/3.0/igo/ (the “License”)s/by/3.0/igo/, This article should not be reproduced for use in association with the promotion of commercial products, services or any legal entity. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2016 World Health Organization 2016 World Health Organization |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: TH WA RC AH HG PT MK FA RL SH. Performed the experiments: TH TC SH. Analyzed the data: TH WA RC BD NS SH. Wrote the paper: TH WA BD RC AH MK FA RL NS SH. Competing Interests: Co-author WA is the owner of Aspinall & Associates. Co-author HJG is the owner of Gibb Epidemiology Consulting. There are no patents, products in development or marketed products to declare. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials as detailed online in the guide for authors. |
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References | RM Cooke (ref61) 2015; 5 JA Painter (ref21) 2013; 19 RJ Lempert (ref28) 2004; 45 F Flandoli (ref62) 2011; 96 SM Pires (ref10) 2014; 11 T Hald (ref11) 2004; 24 CL Little (ref17) 2010; 7 (ref6) 2008; 764 AH Havelaar (ref8) 2007; 54 P Gale (ref29) 2010; 138 SM Pires (ref18) 2012; 152 MD Kirk (ref49) 2015 AH Havelaar (ref40) 2008; 5 RV Tauxe (ref2) 2010; 139 (ref9) 2013; 11 M Chan (ref3) 2014 DJ Wilson (ref13) 2008; 4 RM Cooke (ref54) 2008; 93 SM Pires (ref7) 2009; 6 NW Arnell (ref27) 2005; 25 E G Evers (ref12) 2008; 8 PR Torgerson (ref50) 2015 RM Cooke (ref46) 2006; 91 P Mullner (ref14) 2009; 29 E Scallan (ref60) 2011; 17 RL Cooke (ref31) 2004; 6 SM Pires (ref15) 2010; 7 C Stein (ref1) 2007; 1 WP Aspinall (ref55) 2015 AR Domingues (ref20) 2012; 140 ref33 SM Pires (ref4) 2013; 10 RJ Lake (ref41) 2010; 30 IJ van der Fels-Klerz (ref45) 2005; 25 L Boysen (ref22) 2014; 142 JL Bamber (ref30) 2013; 3 PR Hunter (ref25) 2009; 43 E Gkogka (ref59) 2011; 17 H Vally (ref44) 2014; 11 AH Havelaar (ref48) 2015 VJ Davidson (ref43) 2011; 8 S Hoffmann (ref39) 2007; 70 W Aspinall (ref26) 2010; 463 S Cairncross (ref24) 2010; 39 MP Krayer von Krauss (ref32) 2004; 24 WP Aspinall (ref34) 2006; 1 (ref58) 2014 AR Domingues (ref19) 2012; 140 RM Cooke (ref52) 2000; 90 J Rice (ref57) 2007 B Devleesschauwer (ref47) 2015 M Ezzati (ref63) 2002; 360 A Neri (ref35) 2008; 178 RM Cooke (ref53) 1991 C Guo (ref16) 2011; 8 H Gibb (ref51) 2015 MG Tyshenko (ref37) 2011; 74 MJ Mangen (ref5) 2010; 30 PJ Baxter (ref36) 2008; 178 LV de Knegt (ref23) 2015; 143 A Ravel (ref42) 2010; 7 RM Cooke (ref56) 2008; 93 MG Tyshenko (ref38) 2012; 16 |
References_xml | – volume: 39 start-page: 193 issue: Suppl. 1 year: 2010 ident: ref24 article-title: Water, Sanitation and Hygiene for the Prevention of Diarrhoea publication-title: International journal of epidemiology doi: 10.1093/ije/dyq035 – volume: 17 start-page: 7 issue: 1 year: 2011 ident: ref60 article-title: Foodborne Illness Acquired in the United States-Major Pathogens publication-title: Emerging infectious diseases doi: 10.3201/eid1701.P11101 – volume: 24 start-page: 251 issue: 1 year: 2004 ident: ref11 article-title: A Bayesian Approach to Quantify the Contribution of Animal-Food Sources to Human Salmonellosis publication-title: Risk Analysis doi: 10.1111/j.0272-4332.2004.00427.x – volume: 142 start-page: 1599 issue: 8 year: 2014 ident: ref22 article-title: Source attribution of human campylobacteriosis in Denmark publication-title: Epidemiology and Infection doi: 10.1017/S0950268813002719 – volume: 8 start-page: 983 issue: 9 year: 2011 ident: ref43 article-title: Food-Specific Attribution of Selected Gastrointestinal Illnesses: Estimates from a Canadian Expert Elicitation Survey publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2010.0786 – volume: 4 issue: 9 year: 2008 ident: ref13 article-title: Tracing the source of campylobacteriosis publication-title: PLoS Genetics doi: 10.1371/journal.pgen.1000203 – volume: 1 start-page: e161 issue: 3 year: 2007 ident: ref1 article-title: The Global Burden of Disease assessments—WHO is responsible? publication-title: PLoS neglected tropical diseases doi: 10.1371/journal.pntd.0000161 – volume: 11 start-page: 3502 issue: 12 year: 2013 ident: ref9 article-title: Scientific Opinion on the evaluation of molecular typing methods for major food-borne microbiological hazards and their use for attribution modelling, outbreak investigation and scanning surveillance: Part 1 (evaluation of methods and applications) publication-title: EFSA Journal doi: 10.2903/j.efsa.2013.3502 – volume: 463 start-page: 294 issue: 7279 year: 2010 ident: ref26 article-title: A route to more tractable expert advice publication-title: Nature doi: 10.1038/463294a – year: 2015 ident: ref51 article-title: World Health Organization estimates of the global and regional disease burden of four foodborne chemicals and toxins, 2010 publication-title: PLOS Medicine – year: 1991 ident: ref53 article-title: Environmental Ethics and Science Policy Series – year: 2014 ident: ref3 article-title: Food safety must accompany food and nutrition security publication-title: The Lancet – volume: 152 start-page: 129 issue: 3 year: 2012 ident: ref18 article-title: Attributing human foodborne illness to food sources and water in Latin America and the Caribbean using data from outbreak investigations publication-title: International Journal of Food Microbiology doi: 10.1016/j.ijfoodmicro.2011.04.018 – volume: 96 start-page: 1292 year: 2011 ident: ref62 article-title: Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique publication-title: Reliability Engineering and System Safety doi: 10.1016/j.ress.2011.05.012 – volume: 8 start-page: 509 year: 2011 ident: ref16 article-title: Application of Bayesian techniques to model the burden of human salmonellosis attributable to US food commodities at the point of processing: Adaptation of a Danish model publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2010.0714 – volume: 6 start-page: 643 year: 2004 ident: ref31 article-title: Expert judgement elicitation for risk assessment of critical infrastructures publication-title: Journal of risk research doi: 10.1080/1366987042000192237 – volume: 5 start-page: 649 year: 2008 ident: ref40 article-title: Attribution of foodborne pathogens using structured expert elicitation publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2008.0115 – year: 2015 ident: ref50 article-title: World Health Organization estimates of the global and regional disease burden of 11 foodborne parasitic diseases, 2010 publication-title: PLOS Medicine – volume: 140 start-page: 959 issue: 6 year: 2012 ident: ref19 article-title: Source attribution of human salmonellosis using a meta-analysis of case-control studies of sporadic infections publication-title: Epidemiology and infection doi: 10.1017/S0950268811002172 – volume: 143 start-page: 1175 issue: 6 year: 2015 ident: ref23 article-title: Attributing foodborne salmonellosis in humans to animal reservoirs in the European Union using a multi-country stochastic model publication-title: Epidemiology and Infection doi: 10.1017/S0950268814001903 – volume: 6 start-page: 417 issue: 4 year: 2009 ident: ref7 article-title: Attributing the human disease burden of foodborne infections to specific sources publication-title: Foodborne pathogens and diseases doi: 10.1089/fpd.2008.0208 – volume: 7 start-page: 1463 year: 2010 ident: ref42 article-title: Foodborne Proportion of Gastrointestinal Illness: Estimates from a Canadian Expert Elicitation Survey publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2010.0582 – volume: 74 start-page: 261 year: 2011 ident: ref37 article-title: Expert Elicitation for the Judgment of Prion Disease Risk Uncertainties publication-title: Journal of Toxicology and Environmental Health doi: 10.1080/15287394.2011.529783 – volume: 91 start-page: 1364 year: 2006 ident: ref46 article-title: Probabilistic inversion for chicken processing lines publication-title: Reliability engineering and system safety doi: 10.1016/j.ress.2005.11.054 – volume: 43 start-page: 8991 issue: 23 year: 2009 ident: ref25 article-title: Household Water Treatment in Developing Countries: Comparing Different Intervention Types Using Meta-Regression publication-title: Environmental Science and Technology doi: 10.1021/es9028217 – volume: 19 start-page: 407 issue: 3 year: 2013 ident: ref21 article-title: Attribution of Foodborne Illnesses, Hospitalizations, and Deaths to Food Commodities by using Outbreak Data, United States, 1998–2008 publication-title: Emerging infectious diseases doi: 10.3201/eid1903.111866 – volume: 140 start-page: 970 issue: 6 year: 2012 ident: ref20 article-title: Source attribution of human campylobacteriosis using a meta-analysis of case-control studies of sporadic infections publication-title: Epidemiology and infection doi: 10.1017/S0950268811002676 – volume: 29 start-page: 970 year: 2009 ident: ref14 article-title: Source attribution of food-borne zoonoses in New Zealand: a modified Hald model publication-title: Risk Analysis doi: 10.1111/j.1539-6924.2009.01224.x – volume: 24 start-page: 1515 year: 2004 ident: ref32 article-title: Elicitation of expert judgments of uncertainty in the risk assessment of herbicide-tolerant oilseed crops publication-title: Risk Analysis doi: 10.1111/j.0272-4332.2004.00546.x – year: 2015 ident: ref47 article-title: Methodological framework for estimating the global burden of foodborne diseases publication-title: PLOS One – volume: 138 start-page: 214 year: 2010 ident: ref29 article-title: Assessing the impact of climate change on vector-borne viruses in the EU through the elicitation of expert opinion publication-title: Epidemiology and Infection doi: 10.1017/S0950268809990367 – ident: ref33 – volume: 178 start-page: 397 issue: 3 year: 2008 ident: ref35 article-title: Developing an event tree for probabilistic hazard and risk assessment at Vesuvius publication-title: Journal of volcanology and geothermal research doi: 10.1016/j.jvolgeores.2008.05.014 – volume: 93 start-page: 657 issue: 5 year: 2008 ident: ref54 article-title: TU Delft expert judgment data base publication-title: Reliability engineering and system safety doi: 10.1016/j.ress.2007.03.005 – volume: 11 start-page: 727 issue: 9 year: 2014 ident: ref44 article-title: Proportion of Illness Acquired by Foodborne Transmission for Nine Enteric Pathogens in Australia: An Expert Elicitation publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2014.1746 – year: 2015 ident: ref48 article-title: World Health Organization estimates and regional comparisons of the burden of foodborne disease, 2010 publication-title: PLOS Medicine – volume: 178 start-page: 454 issue: 3 year: 2008 ident: ref36 article-title: Emergency planning and mitigation at Vesuvius: A new evidence-based approach publication-title: Journal of volcanology and geothermal research doi: 10.1016/j.jvolgeores.2008.08.015 – volume: 360 start-page: 1347 year: 2002 ident: ref63 article-title: Selected major risk factors and global and regional burden of disease publication-title: Lancet doi: 10.1016/S0140-6736(02)11403-6 – volume: 7 start-page: 749 year: 2010 ident: ref17 article-title: Attribution of human Listeria monocytogenes infections in England and Wales to ready-to-eat food sources placed on the market: adaptation of the Hald Salmonella source attribution model publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2009.0439 – volume: 70 start-page: 1220 issue: 5 year: 2007 ident: ref39 article-title: Using Expert Elicitation to Link Foodborne Illnesses in the United States to Foods publication-title: Journal of Food Protection doi: 10.4315/0362-028X-70.5.1220 – volume: 139 start-page: S16 issue: Suppl 1 year: 2010 ident: ref2 article-title: Evolving public health approaches to the global challenge of foodborne infections publication-title: International journal of food microbiology doi: 10.1016/j.ijfoodmicro.2009.10.014 – volume: 10 start-page: 206 issue: 3 year: 2013 ident: ref4 article-title: Assessing the Applicability of Currently Available Methods for Attributing Foodborne Disease to Sources, Including Food and Food Commodities publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2012.1134 – volume: 16 start-page: 48 issue: 1–3 year: 2012 ident: ref38 article-title: Expert judgement and re-elicitation for prion disease risk uncertainties publication-title: International Journal of Risk Assessment and Management doi: 10.1504/IJRAM.2012.047552 – volume: 764 start-page: 1 year: 2008 ident: ref6 article-title: Scientific Opinion of the Panel on Biological Hazards on overview of methods for source attribution for human illness from food-borne microbiological hazards publication-title: The EFSA Journal – volume: 45 start-page: 1 year: 2004 ident: ref28 article-title: Characterizing climate change uncertainties for decision-makers publication-title: Climate Change doi: 10.1023/B:CLIM.0000037561.75281.b3 – volume: 25 start-page: 109 year: 2005 ident: ref45 article-title: A structured expert judgment study for a model of Campylobacter transmission during broiler-chicken processing publication-title: Risk Analysis doi: 10.1111/j.0272-4332.2005.00571.x – year: 2015 ident: ref55 article-title: Evaluation of a Performance-Based Expert Elicitation: WHO Global Attribution of Foodborne Diseases publication-title: PLOS One – volume: 93 start-page: 745 issue: 5 year: 2008 ident: ref56 article-title: On the performance of social network and likelihood-based expert weighting schemes publication-title: Reliability engineering and system safety doi: 10.1016/j.ress.2007.03.017 – year: 2014 ident: ref58 – volume: 30 start-page: 743 issue: 5 year: 2010 ident: ref41 article-title: Risk Ranking for Foodborne Microbial Hazards in New Zealand: Burden of Disease Estimates publication-title: Risk Analysis doi: 10.1111/j.1539-6924.2009.01269.x – start-page: 353 year: 2007 ident: ref57 article-title: Mathematical statistics and data analysis – volume: 30 start-page: 782 issue: 5 year: 2010 ident: ref5 article-title: Integrated Approaches for the Public Health Prioritization of Foodborne and Zoonotic Pathogens publication-title: Risk Analysis doi: 10.1111/j.1539-6924.2009.01291.x – volume: 11 start-page: 667 issue: 9 year: 2014 ident: ref10 article-title: Source attribution of human salmonellosis: An overview of methods and estimates publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2014.1744 – volume: 1 start-page: 15 year: 2006 ident: ref34 article-title: Statistics in Volcanology – year: 2015 ident: ref49 article-title: World Health Organization estimates of the global and regional disease burden of 22 foodborne bacterial, protozoal and viral diseases, 2010 publication-title: PLOS Medicine – volume: 54 start-page: 103 year: 2007 ident: ref8 article-title: Towards an Integrated Approach in Supporting Microbiological Food Safety Decisions publication-title: Zoonoses and Public Health doi: 10.1111/j.1863-2378.2007.01036.x – volume: 7 start-page: 1351 issue: 11 year: 2010 ident: ref15 article-title: Using Outbreak Data for Source Attribution of Human Salmonellosis and Campylobacteriosis in Europe publication-title: Foodborne pathogens and disease doi: 10.1089/fpd.2010.0564 – volume: 25 start-page: 1419 year: 2005 ident: ref27 article-title: Eliciting information from experts on the likelihood of rapid climate change publication-title: Risk Analysis doi: 10.1111/j.1539-6924.2005.00689.x – volume: 5 start-page: 8 year: 2015 ident: ref61 article-title: Messaging climate change uncertainty with supplementary Online Material publication-title: Nature Climate Change doi: 10.1038/nclimate2466 – volume: 3 start-page: 424 year: 2013 ident: ref30 article-title: An expert judgement assessment of future sea level rise from the ice sheets publication-title: Nature Climate Change doi: 10.1038/nclimate1778 – volume: 90 start-page: 303 issue: 3 year: 2000 ident: ref52 article-title: Procedures Guide for Structured Expert Judgement in Accident Consequence Modeling publication-title: Radiation Protection Dosimetry doi: 10.1093/oxfordjournals.rpd.a033152 – volume: 8 start-page: 174 issue: 1–2 year: 2008 ident: ref12 article-title: Campylobacter source attribution by exposure assessment publication-title: International Journal of Risk Assessment and Management doi: 10.1504/IJRAM.2008.016151 – volume: 17 start-page: 1581 issue: 9 year: 2011 ident: ref59 article-title: Risk-based Estimate of Effect of Foodborne Diseases on Public Health, Greece publication-title: Emerging infectious diseases doi: 10.3201/eid1709.101766 |
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SubjectTerms | Bacteria Biology and Life Sciences burden of disease Causes of Climate change Computer networks Diarrhea Disease transmission Distribution Epidemiology Estimates Europe expert opinion Exposure Food Food consumption Food contamination & poisoning Food Microbiology - statistics & numerical data Food Parasitology - statistics & numerical data Food selection Foodborne diseases Foodborne Diseases - epidemiology Foodborne Diseases - microbiology Foodborne Diseases - parasitology foodborne illness Foodborne pathogens Hazards Health hazards Humans Illnesses Infectious diseases Lead Medicine Medicine and Health Sciences Norovirus open climate campaign Panels Parasitic diseases Pathogens Public health R&D Reliability engineering Research & development Risk assessment Salmonella Salmonella Typhi Shigella social networks Social organization source attribution Studies Task forces telephones Toxoplasma gondii uncertainty Vibrio cholerae Waterborne diseases World Health Organization |
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Title | World Health Organization Estimates of the Relative Contributions of Food to the Burden of Disease Due to Selected Foodborne Hazards: A Structured Expert Elicitation |
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