Classification of outcomes in antimalarial therapeutic efficacy studies with Aster.

ABSTRACT: Reliable assessment of antimalarial drug efficacy is crucial for effective response to emerging drug resistance, and therapeutic efficacy studies (TES) are the primary means of estimating in vivo efficacy. Accuracy of such estimates rests on correctly classifying recurrent infections developed during follow-up as recrudescences or new infections. Genotyping is used to guide classification, but polyclonal infections and allele chance matching still make classification challenging, especially in high transmission settings. Established methods for analyzing genotyping data are biased or difficult to use; few take full advantage of data from modern genotyping methods such as multiplexed amplicon sequencing. We propose an Adaptable Statistical framework for Therapeutic Efficacy and Recru

SUBMITTER: Gerlovina I 

PROVIDER: S-EPMC12247718 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature