The prevalence study, of over 100,000 people being led by Imperial has been published as a pre-print ( pre-print = not yet peer reviewed ). This study looked at the prevalence of Coronavirus in England during May, and the main things to come out of it are, that during May :-
- Best estimate of R in England as a whole was 0.57
- Likely range of R was between 0.45 and 0.72
- Young adults ( 18 to 24 ) were most likely to be infected
- The elderly ( 64+) were least likely to be infected
- Unsurprisingly, close contact with a known, or suspected infected person made you much more likely to get infected
- The majority ( ~70% ) of people infected had no symptoms when tested
- Asian people, NHS healthcare and social care workers were more likely to test positive
- On any given day in May, they estimate that, on average, 115,000 people were infected
Interestingly, they found that commercial labs were more likely to declare a sample positive than NHS labs, so they had to adjust their analysis to take that into account. I'm not going to pretend to understand the science behind that, but it does suggest there's a QA issue there.
The pre-print's available at
Background England has experienced one of the highest rates of confirmed COVID-19 mortality in the world. SARS-CoV-2 virus has circulated in hospitals, care homes and the community since January 2020. Our current epidemiological knowledge is largely informed by clinical cases with far less...
www.medrxiv.org
and there's also a summary, which, to be honest, I havn't read, at
Over 120,000 volunteers tested across England between 1 May and 1 June as part of the country’s largest study into coronavirus.
www.gov.uk