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The association between community-based self-reported COVID-19 symptoms and social deprivation explored using symptom tracker apps: A repeated cross-sectional study in Northern Ireland

Research output: Contribution to journalJournal articlepeer-review

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  • Jennifer M. McKinley
  • David Cutting
  • Neil Anderson
  • Conor Graham
  • Brian Johnston
  • Ute Mueller
  • Peter Atkinson
  • Hugo van Woerden
  • Declan T. Bradley
  • Frank Kee
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<mark>Journal publication date</mark>28/05/2021
<mark>Journal</mark>BMJ Open
Publication StatusAccepted/In press
<mark>Original language</mark>English

Abstract

Objectives: The aim of the study was to investigate the spatial and temporal relationships between the prevalence of COVID-19 symptoms in the community and area-level social deprivation. Design: Spatial mapping, generalised linear models, using time as a factor, and spatial-lag models were used to explore the relationship between self-reported COVID-19 symptom prevalence as recorded through two smartphone symptom tracker apps and a range of socio-economic factors using a repeated cross-sectional study design. Setting: In the community in Northern Ireland, UK. The analysis period included the earliest stages of non-pharmaceutical interventions and societal restrictions or ‘lockdown’ in 2020. Participants: Users of two smartphone symptom tracker apps recording self-reported health information who recorded their location as Northern Ireland, UK. Primary outcome measures: Population standardised self-reported COVID-19 symptoms and correlation between population standardised self-reported COVID-19 symptoms and area-level characteristics from measures of multiple deprivation including employment levels and population housing density, derived as the mean number of residents per household for each census super output area. Results: Higher self-reported prevalence of COVID-19 symptoms was associated with the most deprived areas (p < 0.001) and with those areas with the lowest employment levels (p < 0.001). Higher rates of self-reported COVID-19 symptoms within the age groups, 18-24 and 25-34 years were found within the most deprived areas during the earliest stages of non-pharmaceutical interventions and societal restrictions (‘lockdown’). Conclusions: Through spatial regression of self-reporting COVID-19 smartphone data in the community this research shows how a lens of social deprivation can deepen our understanding of COVID-19 transmission and prevention. Our findings indicate that social inequality, as measured by area-level deprivation, is associated with disparities in potential COVID-19 infection, with higher prevalence of self-reported COVID-19 symptoms in urban areas associated with area-level social deprivation, housing density and age.