Professor Christl Donnelly
CBE FMedSci FRS
Professor of Applied Statistics
My research programme brings together and develops statistical and biomathematical methods to analyse epidemiological patterns of infectious diseases. I have studied a variety of diseases, with a particular interest in outbreaks. I also have interests in ecology, conservation and animal welfare.
I use rigorous parameter estimation and hypothesis testing to gain the robust insights from dynamical models of disease transmission, demography and interventions. My research programme aims to improve our understanding of (and ability to predict) the effect of interventions on infectious agent transmission dynamics and population structure. The ultimate goal is to make control strategies as effective as they can be.
I have studied many infectious diseases, including Zika virus, Ebola, MERS, influenza, SARS, bovine TB, foot-and-mouth disease, rabies, cholera, dengue, BSE/vCJD, malaria and HIV/AIDS. I was a leading member of the WHO Ebola Response Team (2014-2016). I was also deputy chair of the Independent Scientific Group on Cattle TB (1998-2007) which designed, oversaw and analysed the Randomised Badger Culling Trial.
I studied mathematics as an undergraduate at Oberlin College and biostatistics as a graduate student at Harvard School of Public Health.
Population antibody responses following COVID-19 vaccination in 212,102 individuals
Ward H. et al, (2022), Nature Communications, 13
Omicron SARS-CoV-2 epidemic in England during February 2022: A series of cross-sectional community surveys.
Chadeau-Hyam M. et al, (2022), The Lancet regional health. Europe, 21
The impact of repeated rapid test strategies on the effectiveness of at-home antiviral treatments for SARS-CoV-2
Menkir TF. and Donnelly CA., (2022), Nature Communications, 13
Stochastic modelling of African swine fever in wild boar and domestic pigs: Epidemic forecasting and comparison of disease management strategies.
Dankwa EA. et al, (2022), Epidemics, 40
Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England.
Elliott P. et al, (2022), Nature communications, 13