Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app

Thorax. 2021 Jul;76(7):723-725. doi: 10.1136/thoraxjnl-2020-215119. Epub 2020 Dec 29.

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 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.

Keywords: clinical epidemiology; infection control.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • COVID-19 / epidemiology*
  • Female
  • Humans
  • Male
  • Mass Screening / methods
  • Middle Aged
  • Mobile Applications*
  • Pneumonia, Viral / epidemiology*
  • Pneumonia, Viral / virology
  • Prevalence
  • Risk Factors
  • Self Report*
  • United Kingdom / epidemiology