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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.

Mellan, T. et al. (no date) “Subnational analysis of the COVID-19 epidemic in Brazil”, medRxiv.
Elliott, P. et al. (no date) “REACT-1 round 13 final report: exponential growth, high prevalence of SARS-CoV-2 and vaccine effectiveness associated with Delta variant in England during May to July 2021”, medRxiv.
Dorigatti, I. et al. (no date) “International risk of yellow fever spread from the ongoing outbreak in Brazil”, bioRxiv.
Penn, M. et al. (no date) “Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach”, bioRxiv.
Augustin, D. et al. (no date) “Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data”, bioRxiv.
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.