My research interests lie in the application of spatial analysis and statistical modelling to epidemiological problems, with a main focus on zoonotic disease epidemiology in resource poor settings. I am particularly interested in understanding the complex relationships that exist between human and livestock health, within the context of varying socio-economic factors, behavioural differences and heterogeneous landscapes.

Livestock ownership and contamination of drinking water: Examining the role of livestock
ownership in the microbial contamination of drinking water in Ghana, Bangladesh and Nepal, based on household survey and water quality data.

Epidemiology of neglected zoonoses: Mixed-effects models were used to better understand the relationships between socio-economic, behavioural and environmental factors and the occurrence of neglected zoonoses in humans, cattle and pigs in western Kenya. This research wass conducted in collaboration with Prof Eric Fevre and uses data arising from the People, Animals and their Zoonoses project. Focus diseases have been cysticercosis and Q Fever.

Bottom up population mapping: As part of the Worldpop and Flowminder team, I have been developing "bottom-up" approaches to estimate human population sizes and demographic characteristics, and their spatial distribution, in the absence of up-to-date census data. This work has focussed on Afghanistan.

Temporal epidemiology of Plasmodium vivax malaria: Time-series analysis was applied to monthly Plasmodium vivax malaria case counts to better understand temporal patterns of malaria incidence, with a view to providing evidence that may support future implementation of a malaria early warning system. This research was carried out in collaboration with Prof Archie Clements.

Spatial epidemiology of Scrub Typhus: Spatial modelling approaches were applied to provide improved understanding of the influence of land cover, environmental and socio-economic factors on the spatial distribution of Scrub Typhus in Taiwan. This research was conducted in collaboration with, Dr Chi-Chien Kuo and colleagues.

Spatial epidemiology of human African trypanosomiasis:
The application of spatial mapping, analysis and geostatistical modelling to HAT distributions in Uganda provides information on (1) ecological determinants of disease distribution and spread, (2) an understanding of spatio-temporal trends in disease incidence and (3) optimal spatial targetting of interventions to prevent further spread and to reduce transmission in currently affected areas.