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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.

Eales, O. et al. (2022) “Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number”, medRxiv.
Penn, M. and Donnelly, C. (2022) “Optimality of Maximal-Effort Vaccination”, medRxiv.
Parag, K., Donnelly, C. and Zarebski, A. (2022) “Quantifying the information in noisy epidemic curves”, medRxiv.
Hillis, S. et al. (2021) “COVID-19-Associated Orphanhood and Caregiver Death in the United States”, arXiv.
McCrone, J. et al. (2021) “Context-specific emergence and growth of the SARS-CoV-2 Delta variant”, p. 2021.12.14.21267606.
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.
Hillis, S. et al. (2021) “COVID-19-associated orphanhood and caregiver death in the United States”, Pediatrics, 148(6).
McCabe, R. et al. (2021) “Communicating uncertainty in epidemic models”, Epidemics, 37, p. 100520.