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.

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.

Sherrard-Smith, E. et al. (2025) “Heterogeneous impacts for malaria control from larviciding across villages and considerations for monitoring and evaluation”, PLoS Pathogens, 21(7).

Kamau, E. et al. (2025) “The mathematics of serocatalytic models with applications to public health data”, Statistics in Medicine, 44(15-17).

Kamau, E. et al. (2025) “The mathematics of serocatalytic models with applications to public health data”, Statistics in Medicine, 44(15-17).

Herriott, L. et al. (2025) “EpiGeoPop: a tool for developing spatially accurate country-level epidemiological models”, Scientific Reports, 15(1).

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