Dr Moyes is a research associate with Big Data Institute, Nuffield Department of Medicine, University of Oxford.
Her main interest is in surveillance for infectious disease control. Her group has developed methods to use data captured from the internet in geospatial models that predict disease risk. They have used this approach to generate updating maps of dengue, chikungunya and melioidosis risk for the Atlas of Baseline Risk Assessment for Infectious Diseases, with more to follow.
She also leads the Malaria Atlas Project’s work on insecticide resistance in malaria vectors. They are predicting spatiotemporal variation in resistance and investigating associations with the potential drivers of selection. There are important overlaps in the Anopheles vectors of malaria and the Aedes vectors of dengue, chikungunya and Zika in terms of potential drivers of selection, behaviours and habitats so her goal is to consider resistance within both mosquito genera under the same analytical framework.
Also under the umbrella of the Malaria Atlas Project, Dr Moyes leads a programme of work on spatial variation in Plasmodium knowlesi malaria. This malaria is found in certain monkey species in SE Asia and is regularly transmitted to humans. Knowledge of this disease lags behind the other human malarias and the team is investigating the potential distribution of human infections, links with deforestation, and the impact of this disease in areas where the other human malarias are being eliminated.
The seminar will be live streamed via: http://bit.ly/LSTM-Sem-DrCM
A recording will be made available on the LSTM website the following day.