I am an epidemiologist, with an interest in using statistical and mathematical methods to gain an understanding of infectious disease prevalence and spread.
Currently I am working on a Bill and Melinda Gates Foundation funded project to provide epidemiological insight into the prevalence and distribution of Klebsiella pneumoniae with the intention of informing vaccine design efforts. As part of these efforts, I am providing statistical support to the development of a Klebsiella sero-epidemiology web app. I am also developing support materials to support other scientists adopt Bayesian methods for estimating prevalence.
In my work prior to joining the School, I was developing models of emergence and spread of antimicrobial resistance in Trypanosoma congolense caused African Animal Trypanosomiasis. This was part of a wider BBSRC funded project to understand the mechanisms and impacts of resistance in northern Tanzania. We have a comprehensive ODE model which allows for the exploration of the impacts of curative and prophylactic treatments on cattle farms. I continue to collaborate with colleagues at the University of Glasgow on this work.
Dr Shaun P. Keegan 