Join Prof Christl Donnelly
, 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, Imperial College London, in this year’s Bradford Hill Memorial Lecture where she will explore the real-time analysis of COVID-19 using epidemiology, statistics and modelling.
UPDATE: Due to the technical issues experienced on 3rd June, please note that this session has now been rescheduled. If you have previously registered to attend this webinar via this Eventbrite page, you should have been contacted by the LSHTM Events team via email on 17th June about the new webinar details. If you are a registered attendee but have not received this email, please get in touch with the event organiser at email@example.com.
Also please note that this session is only available live and will not be recorded.
Christl A. Donnelly 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 have 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.
Organised by the London School of Hygiene & Tropical Medicine
Contact: Deborah Curle