Imperial College London


Faculty of MedicineSchool of Public Health

Senior Lecturer



+44 (0)20 7594 5029s.bhatt




G32ASt Mary's Research BuildingSt Mary's Campus





My interests lie in the development and application of inferential mathematical models to address policy-relevant questions about infectious diseases. My main areas of research concern Malaria and HIV. Methodologically, I am interested in spatial statistics, Gaussian processes, kernel machines and machine learning.



Weiss DJ, Bertozzi-Villa A, Rumisha SF, et al., 2021, Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis., Lancet Infect Dis, Vol:21, Pages:59-69

Vollmer MAC, Glampson B, Mellan TA, et al., 2020, A unified machine learning approach to time series forecasting applied to demand at emergency departments, Bmc Emergency Medicine, ISSN:1471-227X

Flaxman S, Mishra S, Scott J, et al., 2020, The effect of interventions on COVID-19, Nature, Vol:588, ISSN:0028-0836

Unwin H, Mishra S, Bradley V, et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, ISSN:2041-1723

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