medicine and health

The COVID-19 pandemic has amplified the differences between us. Understanding these inequalities is crucial for this and future pandemics.

Mathematicians are developing new machine learning techniques to support medical doctors in their work.

Epidemiologist Matt Keeling tells us about his work on the roadmap out of lockdown, whether the models have been too pessimistic, and what it's been like producing scientific results that carry so much weight.

There have been accusations that the modelling projecting the course of the pandemic was too pessimistic. Are they justified?

Mathematicians help with clearing the massive NHS backlog for heart conditions.

The maths behind the S-curves that allow us to tell if a new variant is on the rise.

How to tell quickly if a new variant is on the rise.

Francesca Scarabel may be early on in her research career, but she has already been part of the UK's emergency mathematical response to the COVID-19 pandemic. She tells us about her experience in this podcast.

Game theory suggests that sharing vaccine doses might give a selfish, as well as moral, advantage.

Ed Hill has been working on the COVID-19 pandemic right from the start, providing government with essential epidemiological advice. Find out about his journey in this podcast.

UK Schools have received more than 300,000 CO₂ monitors as part of a government initiative that has received significant input from mathematicians.

What can we expect from a disease for which natural or vaccine induced immunity wanes?