Publications by Computational Biology and Bioinformatics

Fischer, A. et al. (2022) “Normal approximation for the posterior in exponential families.”

Menkir, T. and Donnelly, C. (2022) “The impact of repeated rapid test strategies on the effectiveness of at-home antiviral treatments for SARS-CoV-2”, Nature Communications, 13(1), p. 5283.

Mullins, E. et al. (2022) “Tracking the incidence and risk factors for SARS-CoV-2 infection using historical maternal booking serum samples”, PLoS ONE, 17(9).

Eales, O. et al. (2022) “Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number”, Epidemics, 40, p. 100604.

Parag, K., Donnelly, C. and Zarebski, A. (2022) “Quantifying the information in noisy epidemic curves”, Nature Computational Science, 2(9), pp. 584–594.

Ezanno, P. et al. (2022) “The African swine fever modelling challenge: Model comparison and lessons learnt”, Epidemics, 40, p. 100615.

Dankwa, E. et al. (2022) “Stochastic modelling of African swine fever in wild boar and domestic pigs: epidemic forecasting and comparison of disease management strategies”, Epidemics, 40.

Elliott, P. et al. (2022) “Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England”, Nature Communications, 13(1), p. 4500.

Atchison, C. et al. (2022) “Validity of self-testing at home with rapid severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody detection by lateral flow immunoassay”, Clinical Infectious Diseases, 76(4).

Eales, O. et al. (2022) “Dynamics of competing SARS-CoV-2 variants during the Omicron epidemic in England”, Nature Communications, 13(1), p. 4375.