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.

Vicco, A. et al. (2025) “Innovative methodological approach to assess dengue transmission: findings from the SERODEN study in Africa”, International Journal of Infectious Diseases, 152, p. 107423.

Yiu, A. et al. (2025) “Semiparametric posterior corrections”, Journal of the Royal Statistical Society, Series B (Statistical Methodology), 87(4), pp. 1025–1054.

Lazaridis, I. et al. (2025) “Author Correction: The genetic origin of the Indo-Europeans”, Nature, pp. 1–1.

Gallagher, K. et al. (2025) “Identification and attribution of weekly periodic biases in global epidemiological time series data”, BMC Research Notes, 18(1).

Kraemer, M. et al. (2025) “Artificial intelligence for modelling infectious disease epidemics”, Nature, 638(8051), pp. 623–635.

Lazaridis, I. et al. (2025) “The genetic origin of the Indo-Europeans”, Nature, pp. 1–11.

Hu, S. et al. (2025) “Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits”, Nature Genetics, 57(2), pp. 379–389.

Penn, M. et al. (2025) “Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach”, Bulletin of Mathematical Biology, 87(2).

Hayes, S. et al. (2025) “Understanding reservoirs of multi-host pathogens: a One Health approach to rabies in Tanzania”, One Health Cases [Preprint].

Atchison, C. et al. (2025) “Strategies to increase response rate and reduce non-response bias in population health research: a series of randomised controlled trials during a large COVID-19 study”, JMIR Public Health and Surveillance, 11.