How can we use mathematics to model the spread of a disease?

The doubling time of a disease is the time it takes for the number of cases of the disease to double. How do you calculate it?

What is the growth rate and what does it tell us about an epidemic?

Mathematics plays a central role in understanding how infectious diseases spread. This collection of articles looks at some basic concepts in epidemiology to help you understand this fascinating and important field, and set you up for further study.

What is herd immunity and what does it have to do with a number called R?

New research reported at this year's Black Heroes of Mathematics conference is changing lives around the world.

Can mathematics help reshape our hospital networks?

Find out how the BloodCounts! project is using AI to make the best of the millions of full blood counts performed every year.

The BloodCounts! project is gearing up towards one of the largest-scale applications yet of machine learning in medicine and healthcare.

A mathematical, and personal, look into how we all had to balance the different harms of the virus and the steps we took against it.

Was the mathematical modelling projecting the course of the pandemic too pessimistic, or were the projections justified? Matt Keeling tells our colleagues from SBIDER about the COVID models that fed into public policy.

PhD student Daniel Kreuter tells us about his work on the BloodCounts! project, which uses maths to make optimal use of the billions of blood tests performed every year around the globe.