Malaria is a major global health threat, and new technologies that generate parasite genomic data may hold the key to improved targeting of resources. Spatial patterns of parasite relatedness can tell us which populations are well-connected, and can hint at possible “sources” and “sinks” of transmission. The student will use large-scale P. falciparum genomic datasets to explore patterns of relatedness in multiple malaria-endemic countries, and will develop novel landscape-genetics approaches for identifying barriers to and corridors of gene flow. These results and methods are of critical value to malaria control programmes.
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