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Less than 1% of Aylesbury Vale population showing Covid-19 symptoms

That's the estimate from researchers trying to keep track of the virus.

Published by Dan Gooding at 5:43am 3rd June 2020. 3-minute read.

Less than 1% of Aylesbury Vale population showing Covid-19 symptoms

It's estimated only around 0.4 per-cent of the population in Aylesbury Vale is showing coronavirus symptoms right now.

That works out at 797 people out of a population of just under 200,000.

Around 5,000 here are reporting how they're feeling each day on an app, which has published local level data.

It comes as we see the infection rate slowing here.

Elsewhere in Bucks:

  • 0.3% of Wycombe district's population is showing symptoms right now
  • Chiltern also sits at 0.4%, like Aylesbury Vale
  • South Bucks also shows around 0.3% of its population has the illness

As of 5am on Monday, it's estimated 173,879 people across the UK currently had the illness.

These numbers are estimated based on testing data and those using the Covid Radar app, from King's College London, which has over 3 million participants.

This animated image shows estimates of cases since lockdown started easing.

Cases since lockdown eased

Jonathan Wolf, CEO of medical research company ZOE comments: 

“These results are only possible because of the millions of people who are generously recording their health daily on the COVID Symptom Study app.

"By combining physical swab testing with daily digital health reporting we are now able to understand the daily new cases of infection. This was previously a mystery.

"We will be updating this regularly, which will provide vital information to the NHS and government as we all look to ease our way out of lockdown”

Professor Tim Spector comments: 

“This new incidence rate will be capturing the day-to-day change in the disease which means we will be able to tell the active status of the virus within the population.

"As a result we will know whether the infection rate is stable, falling or increasing very quickly which will influence decisions around loosening lockdown.
I would like to take this opportunity to thank the input of the SAGE SPI-M modelling team and the Department of Health and Social Care testing team, who continue to support the app’s work and who have enabled this testing to happen.

"Without them these results would not be possible“

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