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A primer on the SIR model

Mathematical models are used to approximate epidemic outbreaks and try to predict their outcomes. In this popular Youtube lecture, Tom Britton, Professor in Mathematical Statistics and Dean of Mathematics & Physics at Stockholm University, explains the basic concepts of the Susceptible-Infected-Recovered (SIR) model.

Using these concepts, the lecture then guides us through what questions we need to ask and what data we need to gather in order to understand what is happening, as well as the importance of different behaviours and policy measures.

Link to the lecture in English and in Swedish.

Posted by:

Maria Perrotta Berlin

SITE, SSE

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