- Explaining, and showing, how the SIR Model can used to predict the spread of Covid-19 Ben Sparks on Numberphile
- Coronavirus is growing exponentially – here’s what that really means Kit Yates in The Conversation
- Coronavirus: the UK could be over the peak Kit Yates in The Conversation
Explore the mathematics of Covid-19 and its potential impact
Here you can find a bespoke series of lectures on epidemic modelling provided by experts from the Department of Mathematical Sciences at Bath.
Mathematical sciences is a hugely important tool in exploring the nature and impact of the spread of the Covid-19, as well as predicting its future trajectory and repercussions. Staff from Maths at Bath are involved in research which is very relevant to the current situation, and the department is involved in many initiatives to support the current crisis. Here you can explore the background of epidemic modelling and find out about some of the other activities going on in Mathematical Sciences at this time.
The lectures available are:
- The basics of models of disease spread, Kit Yates
- Adding complexity to models of disease spread, Kit Yates
- The lessons we can learn from mathematical models of disease spread, Kit Yates
- An overview of the mathematical frameworks behind some influential models for the epidemiological dynamics of Covid-19, Ben Adams
- Mathematical modelling of sneezes and coughs - or how far should you be social distancing? Phil Trinh
- Epidemics on networks, Tim Rogers
- Control of COVID-19: Lifting the Lockdown, Mark Opmeer
Epidemics on networks, Tim Rogers
An overview of ongoing research into epidemics spreading in networks: how to predict the speed of spread and determine who is most at risk.
Our research in the media
Find out about some of the mathematical approaches to tackling the Covid-19 pandemic from staff in the department.