RT Journal Article
SR Electronic
T1 Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app
JF Thorax
JO Thorax
FD BMJ Publishing Group Ltd and British Thoracic Society
SP 723
OP 725
DO 10.1136/thoraxjnl-2020-215119
VO 76
IS 7
A1 Bowyer, Ruth C E
A1 Varsavsky, Thomas
A1 Thompson, Ellen J
A1 Sudre, Carole H
A1 Murray, Benjamin A K
A1 Freidin, Maxim B
A1 Yarand, Darioush
A1 Ganesh, Sajaysurya
A1 Capdevila, Joan
A1 Bakker, Elco
A1 Cardoso, M Jorge
A1 Davies, Richard
A1 Wolf, Jonathan
A1 Spector, Tim D
A1 Ourselin, Sebastien
A1 Steves, Claire J
A1 Menni, Cristina
YR 2021
UL http://thorax.bmj.com/content/76/7/723.abstract
AB Understanding the geographical distribution of COVID-19 through the general population is key to the provision of adequate healthcare services. Using self-reported data from 1 960 242 unique users in Great Britain (GB) of the COVID-19 Symptom Study app, we estimated that, concurrent to the GB government sanctioning lockdown, COVID-19 was distributed across GB, with evidence of ‘urban hotspots’. We found a geo-social gradient associated with predicted disease prevalence suggesting urban areas and areas of higher deprivation are most affected. Our results demonstrate use of self-reported symptoms data to provide focus on geographical areas with identified risk factors.