Summary
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.
Publications
Journals
Hay JA, Zhu H, Jiang CQ, et al., 2024, Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course., Medrxiv
Eales O, Riley S, 2024, Differences between the true reproduction number and the apparent reproduction number of an epidemic time series., Epidemics: the Journal of Infectious Disease Dynamics, Vol:46, ISSN:1755-4365, Pages:100742-100742
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
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