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. Prior to the pandemic, he worked mainly on outbreaks and influenza, with an interest in spatial transmission processes, contact patterns and complex exposure histories. During the COVID-19 pandemic, up to October 2021, he contributed through the Imperial College COVID-19 Response Team, the Scientific Pandemic Influenza - Modelling (SPI-M) committee and the Realtime Assessment of Community Transmission (REACT) study. Since October 2021, has been 90% seconded to the UK Health Security Agency as the Director General for Data Analytics and Surveillance.



Eales O, Plank MJ, Cowling BJ, et al., 2024, Key Challenges for Respiratory Virus Surveillance while Transitioning out of Acute Phase of COVID-19 Pandemic., Emerg Infect Dis, Vol:30

Eales O, Riley S, 2024, Differences between the true reproduction number and the apparent reproduction number of an epidemic time series., Epidemics, Vol:46

Pollett S, Johansson MA, Reich NG, et al., 2023, Correction: Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines., Plos Med, Vol:20

Bhatia S, Parag KV, Wardle J, et al., 2023, Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts, Plos One, Vol:18, ISSN:1932-6203

Ward H, Atchison C, Whitaker M, et al., 2023, Design and implementation of a national program to monitor the prevalence of SARS-CoV-2 IgG antibodies in England using self-testing: the REACT-2 study, American Journal of Public Health, ISSN:0090-0036, Pages:e1-e9

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