Academic Profile

People Feature

Thom Rawson

Non-Stipendiary Research Fellow
Senior Researcher at the Leverhulme Centre for Demographic Science

Dr. Rawson is an epidemiologist and mathematical modeller whose work interests span the spectrum of public health research. During the COVID-19 pandemic he worked in real-time disease modelling, feeding projections into government decision making. His retrospective work on the pandemic assessed the public health impact of key policy decisions such as increasing the delay between vaccination doses, and the decision to delay step 4 re-opening in England; both interventions which his work showed to have prevented thousands of excess hospitalisations. He has also worked extensively across multiple zoonotic pathogens, most recently producing the first epidemiological impact assessments of the spillover of H5N1 avian influenza into dairy cows, and the effectiveness of control measures introduced.

His work now predominantly focusses on the interplay between demography and infectious disease dynamics - growing our understanding of how different populations experience disease outbreaks differently, and how the changing age distributions around the world will impact healthcare demand in future. Methodologically, he is experienced in stochastic modelling techniques, hierarchical Bayesian frameworks, and quantitative risk assessment methods. Thom is actively engaged with the wider societal outreach of scientific work, translating research materials into interactive activities and audio and video content for general audiences.

Thom Rawson I
Attribution:

Photo by Andy Pritchard

Publications

Selected publications include:

Llanes-Kidder, Camila, Katy Gaythorpe, and Thomas Rawson. "Sociodemographic factors influencing COVID-19 vaccine uptake and dropout rates in England." Vaccine 79 (2026): 128477.

McCain, Kelly, Anna Vicco, Christian Morgenstern, Thomas Rawson, Tristan M. Naidoo, Sangeeta Bhatia, Dominic P. Dee et al. "A systematic review and meta-analysis of Zika virus epidemiology." Nature health (2026): 1-13.

Morgenstern, Christian, Thomas Rawson, Isobel Routledge, Mara Kont, Natsuko Imai-Eaton, Janetta Skarp, Patrick Doohan et al. "Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review." The Lancet Microbe (2025).

Rawson, Thomas, Christian Morgenstern, Edward S. Knock, Joseph Hicks, Anh Pham, Guillaume Morel, Aurelio Cabezas Murillo et al. "A mathematical model of H5N1 influenza transmission in US dairy cattle." Nature Communications 16, no. 1 (2025): 4308.

Rawson, Thomas, Wes Hinsley, Raphael Sonabend, Elizaveta Semenova, Anne Cori, and Neil M. Ferguson. "The impact of health inequity on spatial variation of COVID-19 transmission in England." PLOS Computational Biology 20, no. 5 (2024): e1012141.

Rawson, T., Doohan, P., Hauck, K., Murray, K.A. and Ferguson, N., 2023. Climate change and communicable diseases in the Gulf Cooperation Council (GCC) countries. Epidemics42, p.100667.

Imai, Natsuko, Thomas Rawson, Edward S. Knock, Raphael Sonabend, Yasin Elmaci, Pablo N. Perez-Guzman, Lilith K. Whittles et al. "Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study." The Lancet Public Health 8, no. 3 (2023): e174-e183.

Rawson, Thomas. "A hierarchical Bayesian quantitative microbiological risk assessment model for Salmonella in the sheep meat food chain." Food microbiology 104 (2022): 103975.

Rawson, Thomas, Frances M. Colles, J. Christopher D. Terry, and Michael B. Bonsall. "Mechanisms of biodiversity between Campylobacter sequence types in a flock of broiler–breeder chickens." Ecology and Evolution 12, no. 3 (2022): e8651.

Sonabend, Raphael, Lilith K. Whittles, Natsuko Imai, Pablo N. Perez-Guzman, Edward S. Knock, Thomas Rawson, Katy AM Gaythorpe et al. "Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: a mathematical modelling study." The Lancet 398, no. 10313 (2021): 1825-1835.

Rawson, Thomas, Kym E. Wilkins, and Michael B. Bonsall. "Optimal control approaches for combining medicines and mosquito control in tackling dengue." Royal Society open science 7, no. 4 (2020).