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.

Parag, K., Cowling, B. and Donnelly, C. (2021) “Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scales”, Journal of The Royal Society Interface, 18(185), p. 20210569.

Mallon, A.-M. et al. (2021) “Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis”, BMC Medical Research Methodology, 21(1).

Padellini, T. et al. (2021) “Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time study.”, medRxiv [Preprint].

McCabe, R. et al. (2021) “Communicating uncertainty in epidemic models”, Epidemics, 37.

Williams, L. et al. (2021) “Measuring vaccine efficacy against infection and disease in clinical trials: sources and magnitude of bias in COVID-19 vaccine efficacy estimates”, Clinical Infectious Diseases, 75(1), pp. e764 - e773.

Dankwa, E. et al. (2021) “Estimating vaccination threshold and impact in the 2017-2019 hepatitis A virus outbreak among persons experiencing homelessness or who use drugs in Louisville, Kentucky, United States”, Vaccine, 39(49), pp. 7182–7190.

Mo, Y. et al. (2021) “Transmission of community- and hospital-acquired SARS-CoV-2 in hospital settings in the UK: a cohort study”, PLoS Medicine, 18(10).

McCabe, R. and Donnelly, C. (2021) “Disease transmission and control modelling at the science–policy interface”, Interface Focus, 11(6).

Redding, D. et al. (2021) “Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria”, Nature Communications, 12.

Hillis, S. et al. (2021) “COVID-19-Associated Orphanhood and Caregiver Death in the United States. ”, Pediatrics, p. e2021053760.