covid-19
The second part of this article looks at reducing students's contacts and face-to-face teaching.
What can maths tell us about how to make universities safe from COVID-19?
How can we all get back to work safely in the face of a lingering pandemic?
We all now know about R, but sometimes it can be good to consider another number: the growth rate of an epidemic.
In a previous article we introduced the problems that can arise when combine the reproduction ratios of a disease in different settings, such as hospitals and the community. In this article we dive into the maths that helps you get to the bottom of these problems.
Mathematical models can help the nation return to (some sort of) normality.
Mathematicians are helping to develop an AI tool to help with diagnosing COVID-19 and making prognoses for infected patients.
How far can virus-carrying droplets fly in different environments — from buses to supermarkets? Maths can provide some answers.
We explore why you need to be extremely careful when combining the reproduction ratios of a disease in different settings, such as hospitals and the community.