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Computational disease model for Echinococcus granulosus.
dataset
posted on 2015-12-03, 10:26 authored by Brecht Devleesschauwer, Juanita A. Haagsma, Frederick J. Angulo, David C. Bellinger, Dana Cole, Dörte Döpfer, Aamir Fazil, Eric M. Fèvre, Herman J. Gibb, Tine Hald, Martyn D. Kirk, Robin J. Lake, Charline Maertens de Noordhout, Colin D. Mathers, Scott A. McDonald, Sara M. Pires, Niko Speybroeck, M. Kate Thomas, Paul R. Torgerson, Felicia Wu, Arie H. Havelaar, Nicolas PraetRectangles define parent nodes, while rounded rectangles defined child nodes. Grey nodes do not contribute directly to the DALYs, green nodes contribute YLDs, and red nodes contribute YLLs. Nodes contributing to the incidence of the index disease are identified by a thick border. INC = country-specific incidence; PROB–global = probability applied to all countries; CE = cystic echinococcosis; CNS = central nervous system.
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disease modelsWorld Health Organizationdatabase templateComputational Task Forcefoodborne diseasesR packageMethodological Frameworkdisease burdenFERG membersimputation modelWorld Health Organization Estimatesburden assessment31 FBDsdisability weightsFoodborne Disease BackgroundThe Foodborne Disease Burden Epidemiology Reference GroupFBD burden estimates.Methodsmonitoring food safetyGlobal Burden
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