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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.

Gelabert, P. et al. (2025) “Social and genetic diversity in first farmers of central Europe”, Nature Human Behaviour, 9(1), pp. 53–64.
Mills, C. et al. (2025) “The time- and space-varying roles of human mobility in shaping urban dengue epidemics”, medRxiv.
Parag, K. et al. (2025) “Asymmetric limits on timely interventions from noisy epidemic data”, medRxiv.
Kamau, E. et al. (2025) “The Mathematics of Serocatalytic Models with applications to public health data”, medRxiv.
Mills, C. and Donnelly, C. (2024) “Climate-based modelling and forecasting of dengue fever in three endemic departments of Peru”, PLoS Neglected Tropical Diseases, 18(12).
Bajaj, S. et al. (2024) “COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys”, The Lancet Digital Health, 6(11), pp. e778 - e790.
Bajaj, S. et al. (2024) “COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys”, The Lancet Digital Health, 6(11), pp. e778 - e790.
Liley, J. et al. (2024) “Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1), p. 302.
Liley, J. et al. (2024) “Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1).
Steinsaltz, D. et al. (2024) “Short-term and mid-term blood pressure variability and long-term mortality”, American Journal of Cardiology, 234, pp. 71–78.