SBIDER Presents: Shining a light on COVID modelling

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Matt Keeling

Was the mathematical modelling projecting the course of the pandemic too pessimistic, or were the projections justified? Matt Keeling tells our colleagues Ed Hill and Laura Guzmán-Rincón from SBIDER about some of the COVID models that fed into public policy.

We're very pleased to host this episode of SBIDER Presents, one of the podcasts produced by the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER). You can find out more about the work Matt Keeling is discussing in this podcast in our article Shining a light on COVID modelling. And you can hear more from Ed and Laura in our previous podcasts On the mathematical frontline: Ed Hill and Climate change and ready meals: Challenges for epidemiologists.

This podcast is part of our collaboration with JUNIPER, the Joint UNIversity Pandemic and Epidemic Response modelling consortium. JUNIPER comprises academics from the universities of Cambridge, Warwick, Bristol, Exeter, Oxford, Manchester, and Lancaster, who are using a range of mathematical and statistical techniques to address pressing questions about the control of COVID-19. You can see more content produced with JUNIPER here.

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You can listen to the podcast using the player above, and you can listen and subscribe to our podcast through Apple Podcasts, Spotify and through most other podcast providers via podbean.
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