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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.

Lang, M. et al. (2025) “Non-linear age dynamics of malaria infection and fine-scale environmental exposure in rural Uganda”, medRxiv.
Parag, K. et al. (2025) “Asymmetric limits on timely interventions from noisy epidemic data”, Communications Physics [Preprint].
Parag, K. et al. (2025) “Asymmetric limits on timely interventions from noisy epidemic data”, Communications Physics [Preprint].
Dawkins, M. et al. (2025) “The benefits of smart farming: broiler chicken welfare is indicated earlier and more accurately with automated measurements of flock behaviour”, Smart Agricultural Technology, pp. 101500–101500.
Erber, A. et al. (2025) “Mixing methods: How listening to researchers, healthcare workers, and community members can improve the design of studies testing medical innovations for Neglected Tropical Diseases”, PLoS Neglected Tropical Diseases, 19(9).
Steyn, N. et al. (2025) “A Bayesian model for repeated cross-sectional epidemic prevalence survey data”, PLoS Computational Biology [Preprint].
Ganjgahi, H. et al. (2025) “AI-driven reclassification of multiple sclerosis progression”, Nature Medicine, 31(10), pp. 3414–3424.
Stopard, I. et al. (2025) “Modelling the effects of adult emergence on the surveillance and age distribution of medically important mosquitoes”, PLoS Computational Biology, 21(8).
Steyn, N. et al. (2025) “A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo”, Statistics in Medicine, 44(18-19).
Ignatieva, A. et al. (2025) “The length of haplotype blocks and signals of structural variation in reconstructed genealogies”, Molecular Biology and Evolution, p. msaf190.