Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Eales, O. et al. (no date) “Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021”, medRxiv.

Penn, M. et al. (no date) “Sherlock - A flexible, low-resource tool for processing camera-trapping images”, bioRxiv.

Riley, S. et al. (no date) “REACT-1 round 9 interim report: downward trend of SARS-CoV-2 in England in February 2021 but still at high prevalence”, medRxiv.

Riley, S. et al. (no date) “REACT-1 round 10 report: Level prevalence of SARS-CoV-2 swab-positivity in England during third national lockdown in March 2021”, medRxiv.

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

Grégoire, V. et al. (no date) “Public reporting guidelines for outbreak data: Enabling accountability for effective outbreak response by developing standards for transparency and uniformity”, medRxiv.

Knock, E. et al. (no date) “The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions”, medRxiv.

Eales, O. et al. (no date) “SARS-CoV-2 lineage dynamics in England from January to March 2021 inferred from representative community samples”, medRxiv.

Chadeau-Hyam, M. et al. (no date) “REACT-1 round 15 final report: Increased breakthrough SARS-CoV-2 infections among adults who had received two doses of vaccine, but booster doses and first doses in children are providing important protection”, medRxiv.

Elliott, P. et al. (no date) “Rapid increase in Omicron infections in England during December 2021: REACT-1 study”, medRxiv.