From Calculus to COVID

Published on 27 October 2020

What is ‘R’ and why does it need to be less than one? How many people need to take a vaccine for it to be effective? How much social distancing is needed to flatten the curve? And what does mathematics have to do with any of this?

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a diagram showing the populations and days to show the curve of Cocid-19

Join Professor Fordyce Davidson and Dr Philip Murray from the University of Dundee’s Mathematics department to unearth how mathematics can help predict how a virus spreads within a population and inform strategies to change the predicted pandemic curve in the most efficient way.

 “Mathematical models are important tools for understanding the behaviour of complex systems, such as infectious diseases,” said Dr Murray.

“We can combine data and mathematical modelling to predict the dynamics of a virus within a population and use the models to simulate the effect of different control measures.”

“During this event, beginning with the idea of a derivative, we will discuss how we can apply mathematical and statistical ideas to understand different aspects COVID-19 dynamics.”

The event will also explore the use of computer simulations to discover how different public health interventions can alter disease dynamics.

It is open to everyone but will be of particular interest to those studying or soon to be studying at Higher/ A-Level mathematics and/ or calculus.

The event will be streamed live on Tuesday 27 October 2020, 16:30 GMT.