Imperial College London

Steven Riley

Faculty of MedicineSchool of Public Health

Professor of Infectious Disease Dynamics



+44 (0)20 7594 2452s.riley




UG8Medical SchoolSt Mary's Campus





Steven studies the transmission of human pathogens. He conducts field studies, analyses data and uses mathematical models to look at scientific questions that are relevant to public health: how does our pattern of social contacts affect the transmission of respiratory infections? How much more severe is one strain of influenza than another? How far does influenza penetrate into rural areas after it sweeps through cities?



Flaxman S, Mishra S, Gandy A, et al., 2020, Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe, Nature, ISSN:0028-0836

Verity R, Okell LC, Dorigatti I, et al., 2020, Estimates of the severity of coronavirus disease 2019: a model-based analysis., Lancet Infectious Diseases, Vol:20, ISSN:1473-3099, Pages:669-677

Hay JA, Minter A, Ainslie KEC, et al., 2020, An open source tool to infer epidemiological and immunological dynamics from serological data: serosolver, Plos Computational Biology, Vol:16, ISSN:1553-734X

Ainslie KEC, Walters CE, Fu H, et al., 2020, Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment [version 1; peer review: 2 approved], Wellcome Open Res, Vol:5, ISSN:2398-502X

Arinaminpathy N, Riley S, Barclay W, et al., Population implications of the deployment of novel universal vaccines against epidemic and pandemic influenza, Journal of the Royal Society Interface, ISSN:1742-5662

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