Dr Michelle Stanton

Post-Doctoral Research Associate

Following the completion of a BSc in Mathematical Sciences at the University of Bath, I undertook an MSc (Medical Statistics) and PhD (titled ‘Spatial and spatio-temporal statistical methods and their applications in epidemiology’) at Lancaster University (2006-2011). Under the supervision of Professor Peter Diggle, throughout my PhD I became involved in a number of projects in which the primary focus was to develop and apply statistical models to spatially referenced epidemiological data ranging from meningococcal disease cases in Merseyside, leptospirosis in Brazil and Loa loa and meningitis in West Africa.

On completion of my PhD I began my role as a postdoctoral researcher within the Filariasis Programme Support Unit (FPSU) at LSTM, where I utilised statistics methods and GIS to support a range of operational research activities relating to NTD control and elimination, with a primary focus on lymphatic filariasis elimination and morbidity management. Whilst undertaking this role, I developed my interest in mobile health (or mhealth), and have led the development of a range of mhealth tools that enable community health workers to engage further in disease control activities.

In 2015 I was awarded an MRC Population Health Scientist Fellowship entitled ‘A Spatial Framework for Optimising Control at the Local Level: Coordinated strategies for  Neglected Tropical Diseases and Malaria (FOCAL-NTD)’.  


My MRC fellowship has two primary aims: (1) to develop novel statistical approaches to identify spatial heterogeneities in disease distribution over relatively small geographical areas in order to allow better targeting of disease interventions, (2) to develop appropriate mobile phone-based tools to enable local-level monitoring of disease control/elimination activities. These methods and tools are being applied to the control and elimination of lymphatic filariasis, schistosomiasis and human African trypanosomiasis. 


I teach on several MSc modules at LSTM, teaching statistics, spatial epidemiology and geographical information systems (GIS). I have to date also supervised a number of MSc projects that have involved fieldwork in Malawi and Ghana. 

Other relevant expertise, professional memberships etc.

 Member of the Royal Statistical Society, the American Society of Tropical Medicine and Hygiene, and the British Society of Parasitology


  • Selected publications

    M.C. Stanton, S.Z. Mkwanda, A.Y. Debrah, L. Batsa, N. Biritum, A. Hoerauf, M. Cliffe, A. Best, A. Molineux, L.A. Kelly-Hope (2015) Developing a community-led SMS reporting tool for the rapid assessment of lymphatic filariasis morbidity burden: case studies from Malawi and Ghana. BMC Infectious Diseases, 15:214 

    S. Martindale, S.Z. Mkwanda, E.L. Smith, D.H. Molyneux, M.C. Stanton and L.A. Kelly-Hope (2015) Quantifying the physical and socio-economic burden of filarial lymphoedema in Chikwawa District, Malawi. Transactions of the Royal Society of Tropical Medicine and Hygiene 108: 759-767 

    E.L. Smith, S.Z. Mkwanda, S. Martindale, L.A. Kelly-Hope and M.C. Stanton (2015) Lymphatic filariasis morbidity mapping: A comprehensive examination of lymphoedema burden in Chikwawa district, Malawi Transactions of the Royal Society of Tropical Medicine and Hygiene 108: 751-758

     J.R. Stothard, M.C. Stanton, A. Bustonduy, J.C. Sousa-Figueiredo, G.Van Dam, D. Waterhouse, S. Ward, M.A. Al-Helal, Z.A. Memish, F. Allan and D. Rollinson (2014) Diagnostics for schistosomiasis in Africa and Arabia: a review of present options in control and future needs for elimination, Parasitology 141(14):1947-61

    C. Perez, M. Stanton, P. Diggle, S. Trzaska, R. Miller, J.P. Perlwitz, J.M. Baldasano, E. Cuevas, P. Ceccato, P. Yaka and M. Thomson (2014) Soil dust aerosols and wind as predictors of seasonal meningitis incidence in Niger. Environmental Health Perspectives, 122:679-86 

    M.C. Stanton, L. Agier, B. Taylor and P.J. Diggle (2013) Towards real-time spatio-temporal prediction of district-level meningitis incidence in sub-Saharan Africa Journal of the Royal Statistical Society Series A,doi:10.1111/rssa.12033 

    M.C. Stanton and P.J. Diggle (2013) Geostatistical analysis of binomial data: generalized linear or transformed Gaussian modelling? Environmetrics 24(3):158-171