Shows
How Epidemics EndChristl Donnelly and the Statistical End of EpidemicsProfessor Christl Donnelly (Oxford and Imperial) and Dr Erica Charters discuss how statistical and mathematical epidemiology measure the end of epidemics, including BSE, Ebola, influenza, and Covid-19.2022-03-1518 min
Royal Statistical SocietyReal-time epidemiology, statistics and modelling with Professor Christl DonnellyProfessor Christl Donnelly, of Oxford University and Imperial College London, gave the 29th Bradford Hill Memorial Lecture on 30th June 2020 in London. We caught up with Christl to talk about her vast practical experience of applying methods in the context of infectious diseases, including SARS, MERS, Ebola and Covid-19. We discussed the real-time analysis of infectious diseases and some of the questions related to this we might ask. For instance, how many cases are there, who's getting sick and how fast is the epidemic growing? Christl explained how statistics, epidemiology and modelling can help to address these questions.2020-10-2121 min
BBC Inside ScienceCoronavirus: Models & being ‘led by the science’; Mars500 isolation tips; Kids’ science - singing glassesMarnie Chesterton reveals how important the models and graphs are in informing government strategies for the Covid-19 pandemic. Christl Donnelly, Professor of Statistical Epidemiology at Imperial College London and Professor of Applied Statistics at the University of Oxford, and Dr Kit Yates, Senior Lecturer in Mathematical Biology at the University of Bath and author of 'The Maths of Life and Death', explain what epidemiological models can and can’t tell us about the progression of the disease, infection rates and death rates, and how testing will provide the essential data to make these models more accurate. They also give th...2020-04-0232 min
The world, the universe and us#9: Coronavirus lockdown – how to flatten the curve, reset the immune system, and the world’s most hardcore mammalThe UK government says they are going to distribute millions of covid-19 coronavirus testing kits in the next few days, but how effective will these be and is it too late now to flatten the curve of increasing infections? In the pod for this week’s episode are New Scientist journalists Rowan Hooper, Penny Sarchet and Graham Lawton. The team is joined by epidemiologist Christl Donnelly from Imperial College London. Christl is associate director of the MRC centre for Global Infectious Disease Analysis, which advises the government. We hear how it's never too late to flatten the curve, and how sm...2020-03-2733 min
More or Less: Behind the StatsMitigation or Suppression: What’s best to tackle Coronavirus?Last week, while schools and businesses across Europe closed in an attempt to halt the spread of Coronavirus the UK stood alone in a more relaxed approach to the pandemic; letting people choose whether they wanted to go to work, or socially distance themselves. This week, things have changed. Schools are closing for the foreseeable future and exams have been cancelled. The British government says their change of heart was based on the work scientists like Christl Donnelly from Imperial College London and the University of Oxford. So what has Christl found that has caused such concern?
(Image: A...2020-03-2109 min
Oxford Sparks Big QuestionsWhat does my family want to know about coronavirus?Coronavirus has been hitting the headlines since late 2019, and is now at the forefront of many people’s minds. We have a lot of questions, and it can be difficult to find answers. In this episode of the Big Questions podcast, Emily is asking her family what they would like to know about coronavirus, and Prof Christl Donnelly (an expert in modelling the spread of disease) is on-hand to provide some answers.2020-03-1116 min
Challenging Models in the Face of UncertaintyChristl Donnelly: Collaborative Research on the Spread of 2009 H1N1 Pandemic InfluenzaChristl Donnelly: Collaborative Research on the Spread of 2009 H1N1 Pandemic Influenza
Professor Christl Donnelly (Medicine, Imperial College, London), 'Collaborative Research on the Spread of 2009 H1N1 Pandemic Influenza - the Experience of the MRC Centre for Outbreak Analysis and Modelling'. Paper delivered at CRASSH workshop 'Healthy Futures: Medical Regulation and Human Agency' (22 January, 2010).2011-09-2730 min