Professor Christl Donnelly
Contact information
Colleges
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.
Recent publications
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The uncertainty of infectious disease outbreaks is underestimated
Preprint
Penn M. et al, (2023)
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Asymptotic Analysis of Optimal Vaccination Policies
Journal article
Penn MJ. and DONNELLY C., (2023), Bulletin of Mathematical Biology
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Understanding the incidence and timing of rabies cases in domestic animals and wildlife in south-east Tanzania in the presence of widespread domestic dog vaccination campaigns.
Journal article
Hayes S. et al, (2022), Vet Res, 53
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Population antibody responses following COVID-19 vaccination in 212,102 individuals
Journal article
Ward H. et al, (2022), Nature Communications, 13
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Estimating Zika virus attack rates and risk of Zika virus-associated neurological complications in Colombian capital cities with a Bayesian model
Journal article
Charniga K. et al, (2022), Royal Society Open Science