Prediction-driven pooled testing methods: Application to HIV treatment monitoring in Rakai, Uganda.

ABSTRACT: Chronic medical conditions often necessitate regular testing for proper treatment. Regular testing of all afflicted individuals may not be feasible due to limited resources, as is true with HIV monitoring in resource-limited settings. Pooled testing methods have been developed in order to allow regular testing for all while reducing resource burden. However, the most commonly used methods do not make use of covariate information predictive of treatment failure, which could improve performance. We propose and evaluate four prediction-driven pooled testing methods that incorporate covariate information to improve pooled testing performance. We then compare these methods in the HIV treatment management setting to current methods with respect to testing efficiency, sensitivity, and number of t

SUBMITTER: Brand A 

PROVIDER: S-EPMC8487918 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature