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.

Williams, L. et al. (2021) “Measuring vaccine efficacy against infection and disease in clinical trials: sources and magnitude of bias in COVID-19 vaccine efficacy estimates”, Clinical Infectious Diseases, 75(1), pp. e764 - e773.

Dankwa, E. et al. (2021) “Estimating vaccination threshold and impact in the 2017-2019 hepatitis A virus outbreak among persons experiencing homelessness or who use drugs in Louisville, Kentucky, United States”, Vaccine, 39(49), pp. 7182–7190.

Mo, Y. et al. (2021) “Transmission of community- and hospital-acquired SARS-CoV-2 in hospital settings in the UK: a cohort study”, PLoS Medicine, 18(10).

McCabe, R. and Donnelly, C. (2021) “Disease transmission and control modelling at the science–policy interface”, Interface Focus, 11(6).

Hillis, S. et al. (2021) “COVID-19-Associated Orphanhood and Caregiver Death in the United States. ”, Pediatrics, p. e2021053760.

Redding, D. et al. (2021) “Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria”, Nature Communications, 12.

Tan, Y. et al. (2021) “Enhanced Recovery Pathways for Flap-Based Reconstruction: Systematic Review and Meta-Analysis”, Aesthetic Plastic Surgery, 45(5), pp. 2096–2115.

Nicholson, G. et al. (2021) “Interoperability of statistical models in pandemic preparedness: principles and reality”, arXiv.

Forna, A. et al. (2021) “Comparison of machine learning methods for estimating case fatality ratios: an Ebola outbreak simulation study”, PLoS One, 16(9).

Parag, K. and Donnelly, C. (2021) “Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers”, p. 2021.09.08.21263270.