Real-time analysis of COVID-19: epidemiology, statistics and modelling in action
29th Bradford Hill Memorial Lecture
Join Prof Christl Donnelly for this year’s Bradford Hill Memorial Lecture where she will explore the real-time analysis of COVID-19 using epidemiology, statistics and modelling.
About the speaker
Christl A. Donnelly is Deputy Head of Department for the Department of Statistics at University of Oxford and Deputy Director of the WHO Collaborating Centre for Infectious Disease Modelling at Imperial College London.
Christl obtained her undergraduate degree in mathematics from Oberlin College, Ohio and then studied biostatistics at Harvard. She is currently based at Imperial College London in the School of Public Health and University of Oxford in the Department of Statistics. For the past 25 years she has worked on the statistical epidemiology of infectious diseases, with a focus on real-time epidemic analysis to improve situational awareness and inform response.
Christl has been involved in many intensive efforts to understand and control infectious disease threats include those relating to BSE/vCJD, FMD, SARS, pandemic H1N1 influenza, MERS, Ebola (in West Africa and DRC), Zika and now COVID-19. Through the MRC Centre for Global Infectious Disease Analysis, the WHO Collaborating Centre for Infectious Disease Modelling and the NIHR HPRU in Modelling Methodology, she has experienced numerous collaboration with colleagues in WHO, government departments and Public Health England on a variety of public and animal health threats.
The event is free but registration is required by 3 June, 11.30am
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