Dr Thomas S Churcher

Mr Thomas S Churcher

Contact details

Dr Thomas S Churcher

Research Associate
Division of Epidemiology, Public Health and Primary Care

G27
Medical School
St Mary's Campus

Email: Email address for Dr Thomas S Churcher

Dr Thomas S Churcher

My main research focuses on the use of mathematical models to understand the epidemiology and control of parasitic infections of humans. Of particular interest is the development of models merging population genetics with population dynamics to explore and predict the evolutionary response of the parasite to control interventions.

 

Mal Malaria

As part of TransMalariaBloc we are working to develop methods of malaria control through blocking parasite transmission in the mosquito vector.

 

Filariasis

Together with Maria-Gloria Basáñez I am developing mathematical frameworks in order help identify and predict the impact of drug resistance on the mass chemotherapy control programmes currently in operation. These analytical tools shall then be used to design and interpret molecular studies investigating the presence of molecular markers associated with anthelmintic resistance. This work is done in conjuncture with Prof Roger Prichard, Michel Boussinesq and Sébastian Pion.

Schistosomiasis and soli-transmitted helminthiases

In collaboration with the Schistosomiasis Control Initiative (SCI) and the NDDTDC we are looking to see how mathematical models can help optimise the treatment of neglected tropical diseases.

 

Other responsibilities

I lecture to both undergraduate and postgraduate students, including the MSc in Modern Epidemiology.  In addition I also teach on Imperial College's professional Short Course on the Epidemiology and Control of Infectious Diseases that is aimed at public health professionals, policy-makers and researchers. 

 

 
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My main research focuses on the use of mathematical models to understand the epidemiology and control of parasitic infections of humans. Of particular interest is the development of models merging population genetics with population dynamics to explore and predict the evolutionary response of the parasite to control interventions.