The COVID-19 emergency resulted in some amazing mathematical collaborations.

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

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.

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?

To work out the famous R number you need to know the time between infections.

How long does it take for one person to infect another?

The doubling time for the Omicron variant seems to be scarily fast. But how do you calculate it?

Can you capture people's behaviour in epidemiological models?

Should we again reduce our social contacts? Is vaccinating 12-to-15-year-olds effective? What about boosters? The ready reckoner helps provide some answers.

  • Want facts and want them fast? Our Maths in a minute series explores key mathematical concepts in just a few words.