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
Riley S, 2022, Steven Riley's discussion contribution to papers in Session 1 of the Royal Statistical Society's Special Topic Meeting on COVID-19 transmission: 9 June 2021, Journal of the Royal Statistical Society Series A-statistics in Society, Vol:185, ISSN:0964-1998, Pages:S53-S54
Riley S, 2022, Steven Riley's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID-19 transmission: 11 June 2021, Journal of the Royal Statistical Society Series A-statistics in Society, Vol:185, ISSN:0964-1998, Pages:S148-S149
Yang B, Garcia-Carreras B, Lessler J, et al., 2022, Long term intrinsic cycling in human life course antibody responses to influenza A(H3N2): an observational and modeling study, Elife, Vol:11, ISSN:2050-084X
Kwok KO, Chan EYY, Riley S, et al., 2022, Carriage prevalence of antimicrobial resistance in Hong Kong: a longitudinal study (abridged secondary publication)., Hong Kong Med J, Vol:28 Suppl 6, ISSN:1024-2708, Pages:25-28
Eales O, Haw D, Wang H, et al., 2022, Quantifying changes in the IFR and IHR over 23 months of the SARS-CoV-2 pandemic in England