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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.

Ang, H. et al. (2026) “Association of Dengue Severity with the Serotype of Infection: a systematic review and meta-analysis”, EClinicalMedicine [Preprint].
El-Sayed Moustafa, J. et al. (2026) “Longitudinal dynamics of gene expression and metabolomics in an aging population cohort”, Science, 393(6815), p. eaed6452.
Attfield, L. et al. (2026) “Climate-driven host ecology as a framework for zoonotic disease risk: understanding transferability across arenavirus systems”, Proceedings of the National Academy of Sciences of the United States of America [Preprint].
Kim, Y. and Donnelly, C. (2026) “Substantial under-detection of human rabies cases in the United States.”, Communications health, 1(1), p. 23.
Arkell, P. et al. (2026) “Sero-catalytic and spatial modeling of dengue virus force of infection in Timor-Leste”, Nature Communications [Preprint].
Stapley, J. et al. (2026) “Evaluating the impact of antiviral post-exposure prophylaxis for health-care workers during ebolavirus outbreaks: a modelling study”, Lancet Infectious Diseases [Preprint].
Mills, C. et al. (2026) “Multi-scale measures of time-varying epidemic spread on human mobility networks”, arXiv.
Kim, Y., Mills, C. and Donnelly, C. (2026) “Cross-border travel patterns affect magnitude estimates for the Ebola Bundibugyo epidemic”, Nature Health [Preprint].
Steyn, N. et al. (2026) “A decision-theoretic framework for uncertainty quantification in epidemiological modelling”, American Journal of Epidemiology [Preprint].
Steyn, N. et al. (2026) “A decision-theoretic framework for uncertainty quantification in epidemiological modelling”, American Journal of Epidemiology, p. kwag154.