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Home / Archives for Shaio MF

Bayesian Latent Class Models in malaria diagnosis

  • Authors: de Oliveira MR, Do Rosário V, Gonçalves L, Lee PW, Shaio MF, Subtil A
  • Journal: PLoS One
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/22844405

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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About GHTM

GHTM is a R&D Unit that brings together researchers with a track record in Tropical Medicine and International & Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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