Malaria Genomics
We study malaria genomics and develop frameworks and models to analyze these data to better understand patterns of malaria transmission. Our work is focused on:
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Developing epidemiological models of malaria that integrate genomic information to understand patterns of transmission to better identify infections that have a disproportionate impact on overall burden of malaria.
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Understand the ability for malaria genomics to identify importation events and patterns of connectivity driven by human travel.
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Collection of data in Sub-Saharan Africa to work with collaborators to identify the use of various genotyping methods, statistical frameworks to quantify parasite relatedness, and the impact of population-mixing on sustained transmission.
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Develop novel statistical methods to integrate epidemiological (travel, infection history) and genomic information to better understand how behavior impacts disease transmission.
