Novel application of one-step pooled molecular testing and maximum likelihood approaches to estimate the prevalence of malaria parasitaemia among rapid diagnostic test negative samples in western Kenya

Monica P. Shah, Winnie Chebore, Robert H. Lyles, Kephas Otieno, Zhiyong Zhou, Mateusz Plucinski, Lance A. Waller, Wycliffe Odongo, Kim A. Lindblade, Simon Kariuki, Aaron M. Samuels, Meghna Desai, Rebecca M. Mitchell & Ya Ping Shi
Abstract Background Detection of malaria parasitaemia in samples that are negative by rapid diagnostic tests (RDTs) requires resource-intensive molecular tools. While pooled testing using a two-step strategy provides a cost-saving alternative to the gold standard of individual sample testing, statistical adjustments are needed to improve accuracy of prevalence estimates for a single step pooled testing strategy. Methods A random sample of 4670 malaria RDT negative dried blood spot samples were selected from a mass testing...
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