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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
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
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 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.
- Subjects :
- education.field_of_study
Coronavirus disease 2019 (COVID-19)
business.industry
05 social sciences
Population
Declaration
Distribution (economics)
3. Good health
03 medical and health sciences
0302 clinical medicine
Geography
Environmental health
0502 economics and business
Pandemic
Health care
Resource allocation
030212 general & internal medicine
business
education
050203 business & management
Public health policy
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....86d5aac5f3cb81e03cdbbafc8365eca3
- Full Text :
- https://doi.org/10.1101/2020.04.23.20076521