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.



Unwin HJT, Routledge I, Flaxman S, et al., 2021, Using Hawkes Processes to model imported and local malaria cases in near-elimination settings, Plos Computational Biology, Vol:17, Pages:e1008830-e1008830

Nouvellet P, Bhatia S, Cori A, et al., 2021, Reduction in mobility and COVID-19 transmission, Nature Communications, Vol:12, ISSN:2041-1723

Lavezzo E, Franchin E, Ciavarella C, et al., 2021, Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo', Nature, Vol:590, ISSN:0028-0836, Pages:E11-E11

Suel E, Bhatt S, Brauer M, et al., 2021, Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas, Remote Sensing of Environment: an Interdisciplinary Journal, ISSN:0034-4257

Vollmer MAC, Glampson B, Mellan TA, et al., 2021, A unified machine learning approach to time series forecasting applied to demand at emergency departments, Bmc Emergency Medicine, Vol:21, ISSN:1471-227X, Pages:1-14

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