Attribution of global foodborne disease to specific foods: Findings from a World Health Organization structured expert elicitation

dc.contributor.authorHoffmann, Sandra
dc.contributor.authorDevleesschauwer, Brecht
dc.contributor.authorAspinall, Willy
dc.contributor.authorCooke, Roger
dc.contributor.authorCorrigan, Tim
dc.contributor.authorHavelaar, Arie H
dc.contributor.authorAngulo, Frederick J
dc.contributor.authorGibb, Herman J
dc.contributor.authorKirk, Martyn
dc.contributor.authorLake, R J
dc.contributor.authorSpeybroeck, Niko
dc.contributor.authorTorgerson, P.R.
dc.contributor.authorHald, Tine
dc.date.accessioned2021-05-11T04:29:36Z
dc.date.available2021-05-11T04:29:36Z
dc.date.issued2017
dc.date.updated2020-11-23T10:13:20Z
dc.description.abstractBackground Recently the World Health Organization, Foodborne Disease Burden Epidemiology Reference Group (FERG) estimated that 31 foodborne diseases (FBDs) resulted in over 600 million illnesses and 420,000 deaths worldwide in 2010. Knowing the relative role importance of different foods as exposure routes for key hazards is critical to preventing illness. This study reports the findings of a structured expert elicitation providing globally comparable food source attribution estimates for 11 major FBDs in each of 14 world subregions. Methods and findings We used Cooke’s Classical Model to elicit and aggregate judgments of 73 international experts. Judgments were elicited from each expert individually and aggregated using both equal and performance weights. Performance weighted results are reported as they increased the informativeness of estimates, while retaining accuracy. We report measures of central tendency and uncertainty bounds on food source attribution estimate. For some pathogens we see relatively consistent food source attribution estimates across subregions of the world; for others there is substantial regional variation. For example, for non-typhoidal salmonellosis, pork was of minor importance compared to eggs and poultry meat in the American and African subregions, whereas in the European and Western Pacific subregions the importance of these three food sources were quite similar. Our regional results broadly agree with estimates from earlier European and North American food source attribution research. As in prior food source attribution research, we find relatively wide uncertainty bounds around our median estimates. Conclusions We present the first worldwide estimates of the proportion of specific foodborne diseases attributable to specific food exposure routes. While we find substantial uncertainty around central tendency estimates, we believe these estimates provide the best currently available basis on which to link FBDs and specific foods in many parts of the world, providing guidance for policy actions to control FBDs.en_AU
dc.description.sponsorshipThis study was commissioned and paid for by the World Health Organization (WHO). Aspinall & Associates and Gibb Epidemiology Consulting LLC provided support in the form of salaries for authors [WA, HJG], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ sectionen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1932-6203en_AU
dc.identifier.urihttp://hdl.handle.net/1885/232629
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedicationen_AU
dc.publisherPublic Library of Scienceen_AU
dc.rights© 2017 The Authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourcePLOS ONE (Public Library of Science)en_AU
dc.source.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0183641en_AU
dc.titleAttribution of global foodborne disease to specific foods: Findings from a World Health Organization structured expert elicitationen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue9en_AU
local.bibliographicCitation.lastpage26)en_AU
local.bibliographicCitation.startpagee0183641 (1en_AU
local.contributor.affiliationHoffmann, Sandra, U.S. Dept. of Agriculture, Economic Research Serviceen_AU
local.contributor.affiliationDevleesschauwer, Brecht, Ghent Universityen_AU
local.contributor.affiliationAspinall, Willy, Bristol Universityen_AU
local.contributor.affiliationCooke, Roger, Technical University of Delften_AU
local.contributor.affiliationCorrigan, Tim, World Health Organizationen_AU
local.contributor.affiliationHavelaar , Arie H, Emerging Pathogens Institute, University of Floridaen_AU
local.contributor.affiliationAngulo, Frederick J, Centers for Disease Control and Preventionen_AU
local.contributor.affiliationGibb, Herman J, Gibb Epidemiology Consultingen_AU
local.contributor.affiliationKirk, Martyn, College of Health and Medicine, ANUen_AU
local.contributor.affiliationLake, R J, Institute of Environmental Science and Research Ltden_AU
local.contributor.affiliationSpeybroeck, Niko, Universite catholique de Louvainen_AU
local.contributor.affiliationTorgerson, P.R., University of Zurichen_AU
local.contributor.affiliationHald, Tine , Technical University of Denmarken_AU
local.contributor.authoruidKirk, Martyn, u3853379en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor110203 - Respiratory Diseasesen_AU
local.identifier.absfor111706 - Epidemiologyen_AU
local.identifier.absseo920208 - Health Policy Evaluationen_AU
local.identifier.absseo920204 - Evaluation of Health Outcomesen_AU
local.identifier.ariespublicationu4492120xPUB193en_AU
local.identifier.citationvolume12en_AU
local.identifier.doi10.1371/journal.pone.0183641en_AU
local.identifier.scopusID2-s2.0-85029493046
local.identifier.thomsonID000410859200013
local.publisher.urlhttps://journals.plos.orgen_AU
local.type.statusPublished Versionen_AU

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