MMS IN TANZANIA
Malaria molecular surveillance (MMS), in combination with epidemiological data, is increasingly becoming an essential tool for assessing control programme performance, assessing the impact of current interventions, and resolving transmission intensities. This study used genetic metrics derived from MMS to understand local malaria transmission intensities and the utility of the metrics in routine surveillance for informed local malaria control/elimination in Tanzania. The study reports the largest Plasmodium falciparum genomic dataset from 3,149 patients who were tested positive with malaria rapid diagnostic tests (RDTs). The study covered 100 health facilities in 10 regions with malaria transmission grouped into four strata of very low, low, moderate, and high transmission.