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Methodological framework for World Health Organization estimates of the global burden of foodborne disease

dc.contributor.authorDevleesschauwer, Brecht
dc.contributor.authorHaagsma, Juanita
dc.contributor.authorAngulo, Frederick J
dc.contributor.authorBellinger, David C
dc.contributor.authorCole, Dana
dc.contributor.authorDöpfer, Dörte
dc.contributor.authorFazil, Aamir
dc.contributor.authorFèvre, Eric M
dc.contributor.authorGibb, Herman J
dc.contributor.authorHald, Tine
dc.contributor.authorKirk, Martyn
dc.contributor.authorLake, R J
dc.contributor.authorMaertens de Noordhout, Charline
dc.contributor.authorMathers, Colin
dc.contributor.authorMcDonald, Scott A
dc.contributor.authorPires, Sara M
dc.contributor.authorSpeybroeck, Niko
dc.contributor.authorThomas, Kate
dc.contributor.authorTorgerson, P.R.
dc.contributor.authorWu, Felicia
dc.contributor.authorHavelaar, Arie H
dc.contributor.authorPraet, Nicolas
dc.date.accessioned2018-11-29T22:56:05Z
dc.date.available2018-11-29T22:56:05Z
dc.date.issued2015
dc.date.updated2018-11-29T08:09:57Z
dc.description.abstractBackground The Foodborne Disease Burden Epidemiology Reference Group (FERG) was established in 2007 by the World Health Organization to estimate the global burden of foodborne diseases (FBDs). This paper describes the methodological framework developed by FERG's Computational Task Force to transform epidemiological information into FBD burden estimates. Methods and Findings The global and regional burden of 31 FBDs was quantified, along with limited estimates for 5 other FBDs, using Disability-Adjusted Life Years in a hazard- and incidence-based approach. To accomplish this task, the following workflow was defined: outline of disease models and collection of epidemiological data; design and completion of a database template; development of an imputation model; identification of disability weights; probabilistic burden assessment; and estimating the proportion of the disease burden by each hazard that is attributable to exposure by food (i.e., source attribution). All computations were performed in R and the different functions were compiled in the R package 'FERG'. Traceability and transparency were ensured by sharing results and methods in an interactive way with all FERG members throughout the process. Conclusions We developed a comprehensive framework for estimating the global burden of FBDs, in which methodological simplicity and transparency were key elements. All the tools developed have been made available and can be translated into a user-friendly national toolkit for studying and monitoring food safety at the local level.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1885/153395
dc.publisherPublic Library of Science
dc.sourcePLOS ONE (Public Library of Science)
dc.titleMethodological framework for World Health Organization estimates of the global burden of foodborne disease
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue12
local.bibliographicCitation.lastpagee0142498
local.bibliographicCitation.startpagee0142498
local.contributor.affiliationDevleesschauwer, Brecht, Ghent University
local.contributor.affiliationHaagsma, Juanita, Department of Public Health, Erasmus MC
local.contributor.affiliationAngulo, Frederick J, Centers for Disease Control and Prevention
local.contributor.affiliationBellinger, David C, Boston Children's Hospital
local.contributor.affiliationCole , Dana, Centers for Disease Control and Prevention, Atlanta, GA, United States of America
local.contributor.affiliationDöpfer, Dörte, Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin in Madison, Wisconsin
local.contributor.affiliationFazil, Aamir, Public Health Agency of Canada
local.contributor.affiliationFèvre, Eric M, Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, United Kingdom
local.contributor.affiliationGibb, Herman J, Gibb Epidemiology Consulting
local.contributor.affiliationHald, Tine , Technical University of Denmark
local.contributor.affiliationKirk, Martyn, College of Health and Medicine, ANU
local.contributor.affiliationLake, R J, Institute of Environmental Science and Research Ltd
local.contributor.affiliationMaertens de Noordhout, Charline , Insitute of Health and Society , Université catholique de Louvain, Brussels, Belgium
local.contributor.affiliationMathers, Colin, World Health Organization
local.contributor.affiliationMcDonald, Scott A , Centre for Infectious Disease Control, National Institute for Public Health and the Environment Bilthoven, The Netherlands
local.contributor.affiliationPires, Sara M, Danish Technical University
local.contributor.affiliationSpeybroeck, Niko, Universite catholique de Louvain
local.contributor.affiliationThomas, Kate , Public Health Agency of Canada, Guelph, Ontario, Canada
local.contributor.affiliationTorgerson, P.R., University of Zurich
local.contributor.affiliationWu, Felicia, Department of Food Science and Human Nutrition, Department of Agricultural, Food, and Resource Economics, Michigan State University,
local.contributor.affiliationHavelaar, Arie H, National Institute for Public Health and the Environment
local.contributor.affiliationPraet, Nicolas, Institute of Tropical Medicine
local.contributor.authoruidKirk, Martyn, u3853379
local.description.notesImported from ARIES
local.identifier.absfor111706 - Epidemiology
local.identifier.absseo920404 - Disease Distribution and Transmission (incl. Surveillance and Response)
local.identifier.ariespublicationa383154xPUB3583
local.identifier.citationvolume10
local.identifier.doi10.1371/journal.pone.0142498
local.identifier.scopusID2-s2.0-84953746337
local.identifier.thomsonID000366040000006
local.type.statusPublished Version

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