Bayesian Latent Class Models in malaria diagnosis

The main focus of this study is to illustrate the importance of the statistical analysis in the evaluation of the accuracy of malaria diagnostic tests, without admitting a reference test, exploring a dataset (n=3317) collected in São Tomé and Príncipe.
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Potential threat of malaria epidemics in a low transmission area, as exemplified by São Tomé and Príncipe

Authors: Do Rosário VE, Lee PW, Liu CT, Rampao HS, Shaio MF
Journal: Malaria Journal
Link: http://www.ncbi.nlm.nih.gov/pubmed/?term=Potential+threat+of+malaria+epidemics+in+a+low+transmission+area%2C+as+exemplified+by+S%C3%A3o+Tom%C3%A9+and+Pr%C3%ADncipe

BACKGROUND: Plasmodium falciparum is the major cause of malaria infection in the island of São Tomé, in the Republic of São Tomé and Príncipe (STP), with an incidence of 40 – 50% before 2004. Since 2004, through the coordination of the Ministry of Health of STP and their Centro Nacional de Endemias (CNE), an integrated […]
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Bayesian Latent Class Models in malaria diagnosis

Potential threat of malaria epidemics in a low transmission area, as exemplified by São Tomé and Príncipe

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