Publications (Statistical Genetics and Epidemiology) | Department of Statistics

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.

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”, The Lancet Infectious Diseases [Preprint].

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.

Stapley, J. et al. (2026) “Evaluating the impact of antiviral post-exposure prophylaxis for health-care workers during ebolavirus outbreaks: a modelling study”, medRxiv.

Naidoo, T. et al. (2026) “A systematic review of Nipah virus disease epidemiological parameters, outbreaks, and mathematical models”, The Lancet Infectious Diseases [Preprint], (J Infect Dis 183 2001).

Bouros, I. et al. (2026) “Misspecification of the generation time distribution and its impact on Rt estimates in structured populations”, Journal of Theoretical Biology, 632.

Jewson, J., Smith, J. and Holmes, C. (2026) “On the Stability of General Bayesian Inference”, Bayesian Analysis, 21(2), pp. 725–755.

Parkinson, R. et al. (2026) “MetaBeeAI: An AI pipeline for structured evidence extraction from biological literature”, Ecological Informatics, 96, pp. 103813–103813.