Juniper

Since the start of the COVID-19 pandemic in early 2020 mathematics and statistics have been at the forefront of the fight against the disease. We are pleased to be part of JUNIPER, the Joint University Pandemic and Epidemic Response modelling consortium. JUNIPER comprises academics from the universities of Cambridge, Warwick, Bristol, Exeter, Oxford, Manchester, and Lancaster, who are using a range of mathematical and statistical techniques to address pressing question about the control of COVID-19. The articles listed here are part of our collaboration with JUNIPER and you can find out more about the work of other JUNIPER members on their website.

What's the safest way to reopen schools? And can testing make things better?

When it comes to loosening COVID restrictions all eyes are usually on R — but it's also important to take account of prevalence.

What's it like advising government on the maths behind COVID-19? Find out with epidemiologist Julia Gog in this new podcast series.

Plus is proud to join forces with leading epidemiologists from the JUNIPER consortium.

Modelling shows that your choice of how many households you bubble with this Christmas can make a real difference to the spread COVID-19.

Are they safe? Are they effective? Will they stop the pandemic? Find out with our FAQ informed by experts.

Yes the approved vaccines are safe. If you balance the risks, then taking the vaccine is much safer than taking your chances with COVID-19.

Because the vaccine may not stop transmission of the virus.

The efficacy of vaccines is estimated from trials, using statistical techniques.

Like any medical drug, vaccines are tested in large-scale randomised controlled trials.

Modelling shows that old and vulnerable people should be prioritised.

We can't say for sure, but everything depends on how many people agree to be vaccinated.

We are all longing to go into a lower tier, but this can come at a high price later on.

We all now know about R, but sometimes it can be good to consider another number: the growth rate of an epidemic.

We explore why you need to be extremely careful when combining the reproduction ratios of a disease in different settings, such as hospitals and the community.

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.