Malaria

Machine lEARNING AND MALARIA SEROLOGY

We intend to design new pipelines combining statistics and machine learning techniques to analyze high-throughput serological data related to malaria immunity and recent exposure to malaria parasites.

PvSTATEM

The project aims at demonstrating the efficacy of Plasmodium vivax Serological Testing and Treatment (PvSeroTAT), a new intervention for the control and elimination of malaria, in cluster-randomized trials in Ethiopia and Madagascar. The project will also evaluate the community acceptability of PvSeroTAT through anthropological investigation; and innovate new mobile technologies for the efficient implementation of PvSeroTAT in settings beyond clinical trials.