We are pleased to be part of JUNIPER, the Joint UNIversities Pandemic and Epidemiological Research network. JUNIPER is a collaborative network of researchers from across the UK who work at the interface between mathematical modelling, infectious disease control and public health policy. The content listed here is part of our collaboration with JUNIPER and you can find out more about the work of other JUNIPER members on their website. We received an award from the Scientific Advisory Group for Emergencies (SAGE) for our work with JUNIPER communicating maths concepts to policy-makers and the public during the COVID-19 emergency.

Measles cases on the rise: Why this is worrying and what we can do


We look at the recent rise in measles cases, why it has led to a national health incident being declared, and what can be done to avert the threat.

Celebrating spring with new shoots of mathematics

From tiling bathrooms to fooling cancer cells, and from new insights in topology to bringing research into the classroom — we hope you enjoy our April round-up!

It's all connected – climate change and the spread of diseases

We know climate change can impact our lives through weather events and food security, but it can also impact on the spread of diseases. We talk to Helena Stage from the University of Bristol to find out more.

Maths in a minute: The SIR model

Find out the basics of the SIR model, the basis most disease modellers use to understand the spread of a disease through a population.

Maths in a minute: R – the reproduction ratio

The reproduction ratio, R, is one of the most important numbers in epidemiology. Find out what it means in this very easy introduction.

Maths in half a minute: Exponential growth

What do we mean when we say that something grows exponentially? Find out in this very easy introduction, suitable for anyone curious to know more!

Bye bye 23, hello 24!

In the final episode of Maths on the move for this year we revisit some 2023 highlights and look forward to next year.

Maths in a minute: Mathematical models

A basic introduction to the most powerful tools in science and engineering.

e for exponentialAt the beginning of an epidemic the number of infected people grows exponentially. But why does the number e appear in descriptions of this growth?
What is the generation time of a disease?

To work out how a disease will spread you need to know the time between infections.