How do mathematical models of COVID-19 work and should we believe them? We talk to an epidemiologist, who has been working flat out to inform the government, to find out more.

David Spiegelhalter, expert in risk and evidence communication, tells us how well the UK government has done so far communicating about Covid-19.

A study into Covid-19 suggests that flattening the curve will take longer and harder measures than previously hoped.

As the world prepares for the worst, we explore the maths that can help us stop a pandemic.

Cambridge researchers, the BBC, and thousands of citizen scientists have created a revolutionary infectious disease data set.

In 1915 a cook in California accidentally infected 93 people with typhoid. Over 100 years on mathematicians shed light on a long-standing mystery surrounding this and other outbreaks of infectious diseases.

This is the winning article in the ages 11-15 category of the 2017 BSHM schools writing competition.

Take part in an exciting new project and help fight future pandemics!

Take part in an exciting new project and help fight future pandemics!

Mathematical models predict how fast a rumour will spread and how many people it's likely to reach.

A project involving secondary school students has delivered valuable data for epidemiologists.

A crowdsourced computing project looks for molecules that can disable the Ebola virus.