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.

Laing, R. and Donnelly, C. (2024) “Evolution of an epidemic: Understanding the opioid epidemic in the United States and the impact of the COVID-19 pandemic on opioid-related mortality”, PLoS ONE, 19(7).

Watson, L. et al. (2024) “Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in Aotearoa New Zealand”, Communications Medicine [Preprint].

Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1).

Penn, M. et al. (2024) “Phylo2Vec: a vector representation for binary trees”, Systematic Biology, 74(2), pp. 250–266.

Jaggi, H., Steinsaltz, D. and Tuljapurkar, S. (2024) “Temporal variability can promote migration between habitats”, Theoretical Population Biology, 158, pp. 195–205.

Patten, H., Anderson Loake, M. and Steinsaltz, D. (2024) “Data-Driven Earthquake Multi-impact Modeling: A Comparison of Models”, International Journal of Disaster Risk Science, 15(3), pp. 421–433.

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.