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.

Riley, S. et al. (2020) “REal-time Assessment of Community Transmission (REACT) of SARS-CoV-2 virus: Study protocol.”, Wellcome open research, 5, p. 200.

Jeffrey, B. et al. (2020) “Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK.”, Wellcome open research, 5, p. 170.

Bhatia, S. et al. (2020) “Estimating the number of undetected COVID-19 cases among travellers from mainland China.”, Wellcome open research, 5, p. 143.

Ruprai, H. et al. (2020) “Porous chitosan adhesives with L-DOPA for enhanced photochemical tissue bonding”, Acta Biomaterialia, 101, pp. 314–326.

Shanu, A. et al. (2020) “Calcium mediated calpain activation and microtubule dissociation in hereditary sensory neuropathy-1A expressing V144D SPTLC1 mutation”, in JOURNAL OF THE PERIPHERAL NERVOUS SYSTEM, pp. 513–513.

Ghanem, A. et al. (2020) “Craniomaxillofacial Trauma Management in Austere and War-zone Environments - A role for Composite Tissue Allotransplantation?”, in BRITISH JOURNAL OF SURGERY, pp. 150–150.

Ainslie, K. et al. (2020) “Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment.”

Dorigatti, I. et al. (2019) “Risk of yellow fever virus importation into the United States from Brazil, outbreak years 2016–2017 and 2017–2018”, Scientific Reports, 9.

Enticott, G. et al. (2019) “An assessment of risk compensation and spillover behavioural adaptions associated with the use of vaccines in animal disease management”, Vaccine, 38(5), pp. 1065–1075.

Parag, K. and Donnelly, C. (2019) “Optimising Renewal Models for Real-Time Epidemic Prediction and Estimation”, p. 835181.