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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.

McCrone, J. et al. (2021) “Context-specific emergence and growth of the SARS-CoV-2 Delta variant”, p. rs.3.rs - 1159614.
Elliott, P. et al. (2021) “Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant”, Science, 374(6574), p. eabl9551.
Redd, R. et al. (2021) “Behavioural responses to SARS-CoV-2 antibody testing in England: REACT-2 study”, Wellcome Open Research, 6, p. 203.
McCabe, R. et al. (2021) “Communicating uncertainty in epidemic models”, Epidemics, 37, p. 100520.
Hillis, S. et al. (2021) “COVID-19-associated orphanhood and caregiver death in the United States”, Pediatrics, 148(6).
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.