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

Publications by Computational Biology and Bioinformatics

Chadeau-Hyam, M. et al. (no date) “REACT-1 study round 14: High and increasing prevalence of SARS-CoV-2 infection among school-aged children during September 2021 and vaccine effectiveness against infection in England”, medRxiv.

Riley, S. et al. (no date) “REACT-1 round 11 report: low prevalence of SARS-CoV-2 infection in the community prior to the third step of the English roadmap out of lockdown”, medRxiv.

Bhatia, S. et al. (no date) “Global predictions of short- to medium-term COVID-19 transmission trends : a retrospective assessment”, medRxiv.

O’Driscoll, M. et al. (no date) “A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics with implications for the current COVID-19 pandemic”, medRxiv.

Fischer, K. et al. (no date) “Microfluidics-enabled fluorescence-activated cell sorting of single pathogen-specific antibody secreting cells for the rapid discovery of monoclonal antibodies”, bioRxiv.

Carrera, J. et al. (no date) “Integrated surveillance resolves Darién paradox of Oropouche virus emergence in Panama’s migration corridor”, Research Square.

Eales, O. et al. (no date) “The new normal? Dynamics and scale of the SARS-CoV-2 variant Omicron epidemic in England”, medRxiv.

Eales, O. et al. (no date) “SARS-CoV-2 lineage dynamics in England from September to November 2021: high diversity of Delta sub-lineages and increased transmissibility of AY.4.2”, medRxiv.

Chadeau-Hyam, M. et al. (no date) “REACT-1 round 15 interim report: High and rising prevalence of SARS-CoV-2 infection in England from end of September 2021 followed by a fall in late October 2021”, medRxiv.

Ragonnet-Cronin, M. et al. (no date) “COVID-19 epidemic severity is associated with timing of non-pharmaceutical interventions”, medRxiv.