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.
et al., 2023, Survival at older ages: Are greater influenza antibody titers protective?, Medical Hypotheses, Vol:178, ISSN:0306-9877
et al., 2023, SARS-CoV-2 rapid antibody test results and subsequent risk of hospitalisation and death in 361,801 people, Nature Communications, Vol:14, ISSN:2041-1723
et al., 2023, Characteristics and predictors of persistent symptoms post COVID-19 in children and young people: a large community cross-sectional study in England, Archives of Disease in Childhood, Vol:108, ISSN:0003-9888
et al., 2023, Dynamics of SARS-CoV-2 infection hospitalisation and infection fatality ratios over 23 months in England, Plos Biology, Vol:21, ISSN:1544-9173, Pages:1-21
Elliott P, Ward H, Riley S, 2023, Population monitoring of SARS-CoV-2 infections via random sampling during the COVID-19 pandemic., American Journal of Public Health, ISSN:0090-0036, Pages:e1-e3