Publications (Computational Biology and Bioinformatics) | Department of Statistics

Publications by Computational Biology and Bioinformatics

Fu, H. et al. (2021) “Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China”, International Journal of Infectious Diseases, 102, pp. 463–471.

Mullins, E. et al. (2021) “Tracking the Incidence and Risk Factors for Sars-Cov-2 Infection in North West London by Detection of Antibody in Historical Maternal Booking Serum Samples”, SSRN Electronic Journal.

Mo, Y. et al. (2021) “Transmission dynamics of SARS-CoV-2 in the hospital setting”, medRxiv.

Xu, W. and Reinert, G. (2021) “A Stein Goodness-of-fit Test for Exponential Random Graph Models”, in Proceedings of Machine Learning Research, pp. 415–423.

Klimm, F., Deane, C. and Reinert, G. (2021) “Hypergraphs for predicting essential genes using multiprotein complex data”, J. Complex Networks, 9.

Cooper, B. et al. (2021) “The burden and dynamics of hospital-acquired SARS-CoV-2 in England”, Research Square.

Verity, R. et al. (2021) “COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors’ reply”, The Lancet Infectious Diseases, 21(1), p. 28.

Payne, A. et al. (2021) “Burns Management at A UK Major Trauma Centre During The COVID-19 Lockdown”, in BRITISH JOURNAL OF SURGERY.

Unwin, H. et al. (2021) “More than 5.2 Million Children Affected by Global Surges in COVID-Associated Orphanhood and Caregiver Death: New Evidence for National Responses”, SSRN Electronic Journal.

Hillis, S. et al. (2021) “Under the Radar: Global Minimum Estimates for COVID-19-Associated Orphanhood and Deaths Among Caregivers During 2020”, SSRN Electronic Journal.