Geo-social gradients in predicted COVID-19 prevalence and severity in Great Britain: results from 2,266,235 users of the COVID-19 Symptoms Tracker app
Ruth C. E. Bowyer,
Joan Capdevila Pujol,
Ellen J Thompson,
M. Jorge Cardoso,
Timothy D Spector,
Claire J Steves,
Posted 27 Apr 2020
medRxiv DOI: 10.1101/2020.04.23.20076521
Posted 27 Apr 2020
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 2,266,235 unique GB users of the COVID Symptom Tracker app, we find that COVID-19 prevalence and severity became rapidly distributed across the UK within a month of the WHO declaration of the pandemic, with significant evidence of urban hot-spots. We found a geo-social gradient associated with disease severity and prevalence suggesting resources should focus on urban areas and areas of higher deprivation. Our results demonstrate use of self-reported data to inform public health policy and resource allocation.
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