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.

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

Steyn, N. et al. (2026) “A decision-theoretic framework for uncertainty quantification in epidemiological modelling.”, American journal of epidemiology, p. kwag154.

Steyn, N. et al. (2026) “A decision-theoretic framework for uncertainty quantification in epidemiological modelling”, American Journal of Epidemiology [Preprint].

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

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.

Kim, Y. and Donnelly, C. (2026) “Estimating the potential burden of clinically significant hantavirus cases in Argentina”, Lancet Regional Health Europe [Preprint].

Alrefae, T. et al. (2026) “A Bayesian modelling framework for inference of latent infection risk patterns from virus neutralisation assay titration data”, bioRxiv.

Chen, J. et al. (2026) “Incorporating Uncertainty in Study Participants’ Age in Serocatalytic Models”, medRxiv.