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.

Lambert, B., Gavaghan, D. and Tavener, S. (no date) “A Monte Carlo method to estimate cell population heterogeneity”, bioRxiv.

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.

Carrera, J.-P. et al. (no date) “Endemic and epidemic human alphavirus infections in Eastern Panama; An Analysis of Population-based Cross-Sectional Surveys”, bioRxiv.

Augustin, D. et al. (no date) “Treatment response prediction: Is model selection unreliable?”, bioRxiv.

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.