Development of prediction models to identify hotspots of schistosomiasis in endemic regions to guide mass drug administration.

ABSTRACT: Schistosomiasis is a neglected tropical disease affecting over 150 million people. Hotspots of Schistosoma transmission-communities where infection prevalence does not decline adequately with mass drug administration-present a key challenge in eliminating schistosomiasis. Current approaches to identify hotspots require evaluation 2-5 y after a baseline survey and subsequent mass drug administration. Here, we develop statistical models to predict hotspots at baseline prior to treatment comparing three common hotspot definitions, using epidemiologic, survey-based, and remote sensing data. In a reanalysis of randomized trials in 589 communities in five endemic countries, a regression model predicts whether Schistosoma mansoni infection prevalence will exceed the WHO threshold of

SUBMITTER: Singer BJ 

PROVIDER: S-EPMC10786280 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature