True versus Apparent Malaria Infection Prevalence: The Contribution of a Bayesian Approach

AIMS: To present a new approach for estimating the “true prevalence” of malaria and apply it to datasets from Peru, Vietnam, and Cambodia. METHODS: Bayesian models were developed for estimating both the malaria prevalence using different diagnostic tests (microscopy, PCR & ELISA), without the ne...

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Detalhes bibliográficos
Main Authors: Speybroeck, Niko, Praet, Nicolas, Claes, Filip, Van Hong, Nguyen, Torres, Kathy, Mao, Sokny, Van den Eede, Peter, Thi Thinh, Ta, Gamboa, Dioni, Sochantha, Tho, Thang, Ngo Duc, Coosemans, Marc, Büscher, Philippe, D'Alessandro, Umberto, Berkvens, Dirk, Erhart, Annette
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3041757/
https://ncbi.nlm.nih.gov/pubmed/21364745
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0016705
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