Resistance and genomics

A member of research staff examining samples under a microscope

Exploring how modelling best interprets the patterns of emerging insecticide and drug resistance globally and incorporating molecular, epidemiological, geospatial and statistical techniques to understand the drivers of transmission from genetic data.

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Drug and diagnostic resistance

Using mathematical models to better understand how antimalarial drug resistance emerges and spreads.

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Insecticide resistance

Using mathematical models to predict the public health impact of different types of insecticide resistance from entomological data.

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Genomic surveillance

Integrating ideas from coalescent theory and epidemiology to develop efficient statistical methods for inferring levels of transmission directly from genetic data.

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