Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Mills, C. et al. (2025) “From metric to action: An evaluation framework to translate infectious disease forecasts into policy decisions”, Cold Spring Harbor Laboratory.

Kamau, E. et al. (2025) “The mathematics of serocatalytic models with applications to public health data”, Statistics in Medicine [Preprint].

Mills, C. et al. (2025) “Renewal equations for mosquito-borne diseases”, Methods in Ecology and Evolution [Preprint].

Whitaker, M. et al. (2025) “How COVID-19 affected academic publishing: a 3-year study of 17 million research papers”, International Journal of Epidemiology, 54(3).

Lehmann, B. et al. (2025) “Methodological opportunities in genomic data analysis to advance health equity”, Nature Reviews Genetics, pp. 1–15.

Freni-Sterrantino, A. et al. (2025) “Assessments and developments in constructing a National Health Index for policy-making, in the UK”, Journal of the Royal Statistical Society. Series A: Statistics in Society, 188(2), pp. 491–514.

Steyn, N. et al. (2025) “Pandemic-risk-related behaviour change in England from June 2020 to March 2022: REACT-1 study among over 2 million people”, medRxiv.

Awuah, A.-A. et al. (2025) “Seroprevalence of dengue in the Democratic Republic of Congo, Ghana and Senegal: results of the SERODEN study”, International Journal of Infectious Diseases, 152, p. 107428.

Vicco, A. et al. (2025) “Innovative methodological approach to assess dengue transmission: findings from the SERODEN study in Africa”, International Journal of Infectious Diseases, 152, p. 107423.

Kraemer, M. et al. (2025) “Artificial intelligence for modelling infectious disease epidemics”, Nature, 638(8051), pp. 623–635.