Dr Catherine Moyes
|Tel||+44 (0)1865 287855|
Research Associate, Nuffield Department of Medicine
My main interest is in surveillance for infectious disease control. My group has developed methods to use data captured from the internet in geospatial models that predict disease risk. We 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.
I also lead the Malaria Atlas Project’s work on insecticide resistance in malaria vectors. We 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 my goal is to consider resistance within both mosquito genera under the same analytical framework.
Also under the umbrella of the Malaria Atlas Project, I lead 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 we are 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.
Contemporary status of insecticide resistance in the major Aedes vectors of arboviruses infecting humans.
Moyes CL. et al, (2017), PLoS Negl Trop Dis, 11
International workshop on insecticide resistance in vectors of arboviruses, December 2016, Rio de Janeiro, Brazil.
Corbel V. et al, (2017), Parasit Vectors, 10
Going beyond personal protection against mosquito bites to eliminate malaria transmission: population suppression of malaria vectors that exploit both human and animal blood
Tusting LS. et al, (2017), BMJ Global Health
The contemporary distribution of Trypanosoma cruzi infection in humans, alternative hosts and vectors.
Browne AJ. et al, (2017), Scientific Data
Mapping the spatial distribution of the Japanese encephalitis vector, Culex tritaeniorhynchus Giles, 1901 (Diptera: Culicidae) within areas of Japanese encephalitis risk
Longbottom J. et al, (2017), Parasites and Vectors, 10, 148 - 148