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Publications by Computational Biology and Bioinformatics

Thompson, H. et al. (2020) “SARS-CoV-2 infection prevalence on repatriation flights from Wuhan City, China”, Journal of Travel Medicine, 27(8), p. taaa135.
Riley, S. et al. (2020) “REACT-1 round 7 updated report: regional heterogeneity in changes in prevalence of SARS-CoV-2 infection during the second national COVID-19 lockdown in England”, p. 2020.12.15.20248244.
Galson, J. et al. (2020) “Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures”, Frontiers in Immunology, 11.
Unwin, H. et al. (2020) “State-level tracking of COVID-19 in the United States”, Nature Communications, 11(1), p. 6189.
Riley, S. et al. (2020) “REACT-1 round 7 interim report: fall in prevalence of swab-positivity in England during national lockdown”, p. 2020.11.30.20239806.
Dighe, A. et al. (2020) “Response to COVID-19 in South Korea and implications for lifting stringent interventions”, BMC Medicine, 18(1), p. 321.
Grassly, N. et al. (2020) “Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study”, The Lancet Infectious Diseases, 20(12), pp. 1381–1389.
Parag, K. et al. (2020) “An exact method for quantifying the reliability of end-of-epidemic declarations in real time”, PLOS Computational Biology, 16(11), p. e1008478.
Hawryluk, I. et al. (2020) “Inference of COVID-19 epidemiological distributions from Brazilian hospital data”, Journal of the Royal Society Interface, 17(172), p. 20200596.
Parag, K., Cowling, B. and Donnelly, C. (2020) “Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scales”, p. 2020.11.23.20236968.