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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.

Coppock, H. et al. (2024) “Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers”, Nature Machine Intelligence, 6(2), pp. 229–242.
Coppock, H. et al. (2024) “Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers”, Nature Machine Intelligence, 6(2), pp. 229–242.
Rivera, L. et al. (2024) “Clinical and epidemiological characteristics of Madariaga and Venezuelan equine encephalitis virus infections”, p. 2024.02.02.24302220.
Fong, E., Holmes, C. and Walker, S. (2024) “Martingale posterior distributions”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5), pp. 1357–1391.
Fong, E., Holmes, C. and Walker, S. (2024) “Authors’ reply to the Discussion of ‘Martingale Posterior Distributions’”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5), pp. 1413–1416.
Rivera, S. et al. (2024) “Directrices para los protocolos de ensayos clínicos de intervenciones con inteligencia artificial: la extensión SPIRIT-AI”, BULL PAN AM HEALTH ORGAN, 48, p. e12.
McCabe, R. et al. (2024) “Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey.”, Infectious Disease Modelling, 9(2), pp. 299–313.
Menacher, A. et al. (2024) “Bayesian lesion estimation with a structured spike-and-slab prior”, Journal of the American Statistical Association, 119(545), pp. 66–80.
Smith, D. et al. (2024) “Health and economic impacts of Lassa vaccination campaigns in West Africa”, medRxiv.
Daniel, O. et al. (2024) “Rapid spread of African Swine Fever across Borneo”, bioRxiv.