To control the COVID-19 pandemic, and keep the death toll as low as possible, it's essential to quickly diagnose people who have the disease. This is done using lab tests, but no test is 100% accurate. The COVID-19 test has a relatively high rate of false negatives (30%), which indicate a patient is clear when in reality they have the disease, and lead to late diagnosis and treatment. This doesn't only produce worse outcomes for patients, but also means they can spread the disease further when they are released from hospital.

By now we all know what a distance of 2 metres looks like. It's been painted on pavements across the country and illustrated using broom sticks and very tall people. But are 2 metres really enough to keep you safe from catching the infection from someone else? What if you can't stay that far away from others because you are on a train or in a shop? And what if you're in an air conditioned room where the air you breathe is continually moving around?

We were very sad to hear of John Conway's death on April 11, 2020. He's been a hero of ours for a long time, as he was to many mathematically curious people.

An urgent call has gone out to the scientific modelling community to help fight against the COVID-19 pandemic. The call is coordinated by the Royal Society and led by a small group of academics including two Cambridge mathematicians, Michael Cates, the Lucasian Professor of Mathematics, and Julia Gog, Professor of Mathematical Biology.