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Methodological Framework for World Health Organization Estimates of the Global Burden of Foodborne Disease.
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.
Afiliación
  • Devleesschauwer B; Department of Virology, Parasitology and Immunology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
  • Haagsma JA; Insitute of Health and Society (IRSS), Université catholique de Louvain, Brussels, Belgium.
  • Angulo FJ; Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Bellinger DC; Department of Animal Sciences and Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America.
  • Cole D; Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Döpfer D; Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
  • Fazil A; Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Fèvre EM; Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States of America.
  • Gibb HJ; Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
  • Hald T; Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin in Madison, Wisconsin, United States of America.
  • Kirk MD; Public Health Agency of Canada, Guelph, Ontario, Canada.
  • Lake RJ; Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, United Kingdom.
  • Maertens de Noordhout C; International Livestock Research Institute, Nairobi, Kenya.
  • Mathers CD; Gibb Epidemiology Consulting, Arlington, VA, United States of America.
  • McDonald SA; National Food Institute, Danish Technical University, Lyngby, Denmark.
  • Pires SM; National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia.
  • Speybroeck N; Institute of Environmental Science and Research, Christchurch, New Zealand.
  • Thomas MK; Insitute of Health and Society (IRSS), Université catholique de Louvain, Brussels, Belgium.
  • Torgerson PR; Department of Health Statistics and Information Systems, World Health Organization, Geneva, Switzerland.
  • Wu F; Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Havelaar AH; National Food Institute, Danish Technical University, Lyngby, Denmark.
  • Praet N; Insitute of Health and Society (IRSS), Université catholique de Louvain, Brussels, Belgium.
PLoS One ; 10(12): e0142498, 2015.
Article en En | MEDLINE | ID: mdl-26633883
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Organización Mundial de la Salud / Salud Global / Enfermedades Transmitidas por los Alimentos Tipo de estudio: Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2015 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Organización Mundial de la Salud / Salud Global / Enfermedades Transmitidas por los Alimentos Tipo de estudio: Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2015 Tipo del documento: Article País de afiliación: Bélgica