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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Detalles Bibliográficos
Autores principales: 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: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041757/
https://www.ncbi.nlm.nih.gov/pubmed/21364745
http://dx.doi.org/10.1371/journal.pone.0016705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041757/
https://www.ncbi.nlm.nih.gov/pubmed/21364745
http://dx.doi.org/10.1371/journal.pone.0016705

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