Matt Keeling

One of the highlights of our year has been continuing to work with the wonderful researchers in JUNIPER, the Joint UNIversities Pandemic and Epidemiological Research network. In this podcast Matt Keeling reflects on the mathematical modelling that was used to project the course of the COVID-19 pandemic. He spoke to our colleagues Ed Hill and Laura Guzmán-Rincón in the spring for their podcast, SBIDER Presents.

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.

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

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This podcast is part of our collaboration with JUNIPER, the Joint UNIversities Pandemic and Epidemiological Research network. JUNIPER is a collaborative network of researchers from across the UK who work at the interface between mathematical modelling, infectious disease control and public health policy. You can see more content produced with JUNIPER here.