Publications (Computational Biology and Bioinformatics) | Department of Statistics - University of Oxford

Publications by Computational Biology and Bioinformatics

Eales, O. et al. (2022) “Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number”, medRxiv.

Parag, K., Donnelly, C. and Zarebski, A. (2022) “Quantifying the information in noisy epidemic curves”, medRxiv.

Penn, M. and Donnelly, C. (2022) “Optimality of Maximal-Effort Vaccination”, medRxiv.

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

Elliott, P. et al. (2021) “Exponential growth, high prevalence of SARS-CoV-2, and vaccine effectiveness associated with the Delta variant”, Science, 374(6574), pp. eabl9551 - eabl9551-.

Temčinas, T., Nanda, V. and Reinert, G. (2021) “Multivariate Central Limit Theorems for Random Clique Complexes”, arXiv.

Robinson, S. et al. (2021) “Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies”, PLoS Computational Biology, 17(12).

Redd, R. et al. (2021) “Behavioural responses to SARS-CoV-2 antibody testing in England: REACT-2 study”, Wellcome Open Research, 6, pp. 203 – 203.

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), pp. 20210569 – 20210569.

McCabe, R. et al. (2021) “Communicating uncertainty in epidemic models”, Epidemics, 37, pp. 100520 – 100520.