We are pleased to be part of JUNIPER, the Joint University Pandemic and Epidemic Research. 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.

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 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 enginnering.

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.

How can maths fight an epidemic?

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

The doubling time 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?

The growth rate of a disease

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

Disease modelling for beginners

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.