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Methodological Framework for World Health Organization Estimates of the Global Burden of Foodborne Disease

Authors :
UCL - SSS/IRSS - Institut de recherche santé et société
Devleesschauwer, Brecht
Haagsma, Juanita A.
Angulo, Frederick J.
Bellinger, David C.
Cole, Dana
Döpfer, Dörte
Fazil, Aamir
Fèvre, Eric M.
Gibb, Herman J.
Hald, Tine
Kirk, Martyn D.
Lake, Robin J.
Maertens De Noordhout, Charline
Mathers, Colin D.
McDonald, Scott A.
Pires, Sara M.
Speybroeck, Niko
Thomas, M. Kate
Torgerson, Paul R.
Wu, Felicia
Havelaar, Arie H.
Praet, Nicolas
Kretzschmar, Mirjam E. E.
UCL - SSS/IRSS - Institut de recherche santé et société
Devleesschauwer, Brecht
Haagsma, Juanita A.
Angulo, Frederick J.
Bellinger, David C.
Cole, Dana
Döpfer, Dörte
Fazil, Aamir
Fèvre, Eric M.
Gibb, Herman J.
Hald, Tine
Kirk, Martyn D.
Lake, Robin J.
Maertens De Noordhout, Charline
Mathers, Colin D.
McDonald, Scott A.
Pires, Sara M.
Speybroeck, Niko
Thomas, M. Kate
Torgerson, Paul R.
Wu, Felicia
Havelaar, Arie H.
Praet, Nicolas
Kretzschmar, Mirjam E. E.
Source :
PLoS One, Vol. 10, no.12, p. e0142498 (2015)
Publication Year :
2015

Abstract

Background: 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.

Details

Database :
OAIster
Journal :
PLoS One, Vol. 10, no.12, p. e0142498 (2015)
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1130460134
Document Type :
Electronic Resource