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CSaP: The Science & Policy Podcast

Science, Policy & Pandemics: Episode 4 - Applying Statistical Methods in Modelling Covid-19

Apr 17, 2020
29:04

This week, our host Dr Rob Doubleday sits down with Prof Daniela De Angelis, Professor of Statistical Science for Health at the University of Cambridge to discuss applying statistical methods to epidemiology, disease transmission, and how we're using models to understand the burden on the NHS posed by covid-19.  

CSaP's Science and Policy Podcast is a production of the Centre for Science and Policy at the University of Cambridge. This series on science, policy and pandemics is produced in partnership with Cambridge Infectious Diseases and the Cambridge Immunology Network.

Our guest this week:

Professor De Angelis works on developing and apply statistical methods to characterise epidemics, exploiting the complex body of available information. She is Deputy Director of the MRC Biostatistics Unit at the University of Cambridge.  Professor De Angelis has been working throughout the covid-19 response as part of an epidemiological modelling group advising the UK Government.


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This series is hosted by CSaP Executive Director Dr Rob Doubleday, and is edited and produced by CSaP Communications Coordinator Kate McNeil. If you have feedback about this episode, or questions you’d like us to address in a future week, please email enquiries@csap.cam.ac.uk .

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