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Journal Article

Estimating variation of Covid-19 'infection' in the population: results from Understanding Society's (UKHLS) first monthly covid-19 survey

Authors

Publication date

25 Jul 2020

Summary

The analysis in this paper uses the new Understanding Society COVID-19 survey. The key advantage of these data is that they allow us to examine infection rates for people with particular characteristics. We study how reported symptoms vary in the population and relate reported symptoms to a positive Covid-19 test in the small sample in the survey who were tested. Combining these probabilities we find that the chances of infection increase with a persons education level, are lower and declining with age among those aged over 55, and were higher in the West Midlands and London and lower in the North East than in the rest of the country, and tended to increase with regional population density. There is also evidence that the infection rate was lower among those of a Caribbean origin. A suitably cautious estimate of the mean infection rate is that, during the period up to the end of April 2020, it was between 2% and 8%, with a central rate of about 5%.

Published in

medRxiv

DOI

https://doi.org/10.1101/2020.07.22.20159806

Subjects

Area Effects, Geography, Demography, Health, and Covid 19

Notes

The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

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