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.

Hayes, S. et al. (2024) “Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry”, Royal Society Open Science, 11(6).

Whitehead, M. et al. (2024) “Equity in medical devices: trainers and educators play a vital role”, The BMJ, 385, p. q1091.

Cuomo-Dannenburg, G. et al. (2024) “Marburg virus disease outbreaks, mathematical models, and disease parameters: a systematic review”, The Lancet Infectious Diseases, 24(5), pp. e307 - e317.

Suh, E. et al. (2024) “Estimating the effects of temperature on transmission of the human malaria parasite, Plasmodium falciparum”, Nature Communications, 15(1).

Mendes, C. et al. (2024) “CamTrapAsia: a dataset of tropical forest vertebrate communities from 239 camera trapping studies”, Ecology, 105(6).

Lazaridis, I. et al. (2024) “The Genetic Origin of the Indo-Europeans”, bioRxiv.

Falck, F. et al. (2024) “A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis”, Journal of Biomedical Informatics, 154.

Johnson, R. et al. (2024) “Investigating the dose-dependency of the midgut escape barrier using a mechanistic model of within-mosquito dengue virus population dynamics”, PLoS Pathogens, 20(4).

Creswell, R. et al. (2024) “Understanding the impact of numerical solvers on inference for differential equation models”, Journal of the Royal Society Interface, 21(212).

Gallagher, C. et al. (2024) “Epidemiological agent-based modelling software (Epiabm)”, Journal of Open Research Software, 12(1).