True malaria prevalence in children under five: Bayesian estimation using data of malaria household surveys from three sub-Saharan countries.

Elvire MfueniBrecht DevleesschauwerAngel Rosas-AguirreCarine Van MalderenPatrick T BrandtBernhards OgutuRobert W SnowLéon TshiloloDejan ZurovacDieter VanderelstNiko Speybroeck

Published in: Malaria journal (2018)

In the absence of a gold standard test, Bayesian models can assist in the optimal estimation of the malaria burden, using individual results from several tests and expert opinion about the performance of those tests.

Keyphrases

plasmodium falciparum
risk factors
young adults
electronic health record
cross sectional
big data
machine learning
artificial intelligence