Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 33376145.
- Also identified by DOI 10.1136/thoraxjnl-2020-215119 and PMC identifier 8223682.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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 <i>COVID-19 Symptom Study app,</i> 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.
Medical subject headings
- COVID-19
- Mobile Applications
- Pneumonia, Viral
- Self Report