Imperial College London
Alternate

ProfessorPaulElliott

Faculty of Medicine, School of Public Health

Chair in Epidemiology and Public Health Medicine
 
 
 
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Contact

 

+44 (0)20 7594 3328p.elliott Website

 
 
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Assistant

 

Miss Jennifer Wells +44 (0)20 7594 3328

 
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Location

 

154Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chadeau:2020:ije/dyaa134,
author = {Chadeau, M and Bodinier, B and Elliott, J and Whitaker, M and Tzoulaki, I and Vermeulen, R and Kelly-Irving, M and Delpierre, C and Elliott, P},
doi = {ije/dyaa134},
journal = {International Journal of Epidemiology},
pages = {1454--1467},
title = {Risk factors for positive and negative COVID-19 tests: a cautious and in-depth analysis of UK Biobank data},
url = {http://dx.doi.org/10.1093/ije/dyaa134},
volume = {49},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundThe recent COVID-19 outbreak has generated an unprecedented public health crisis, with millions of infections and hundreds of thousands of deaths worldwide. Using hospital-based or mortality data, several COVID-19 risk factors have been identified, but these may be confounded or biased.MethodsUsing SARS-CoV-2 infection test data (N=4,509 tests; 1,325 positive) from Public Health England, linked to the UK Biobank study, we explored the contribution of demographic, social, health risk, medical, and environmental factors to COVID-19 risk. We used multivariable and penalised logistic regression models for the risk of (i) being tested, (ii) testing positive/negative in the study population and, adopting a test negative design, (iv) the risk of testing positive within the tested population.ResultsIn the fully adjusted model, variables independently associated with the risk of being tested for COVID-19 with OR >1.05 were: male sex; Black ethnicity; social disadvantage (as measured by education, housing and income); occupation (healthcare worker, retired, unemployed); ever smoker; severely obese; comorbidities; and greater exposure to PM2.5-absorbance. Of these, only male sex, non-White ethnicity, lower educational attainment, and none of the comorbidities or health risk factors, were associated with testing positive among tested individuals.ConclusionsWe adopted a careful and exhaustive approach within a large population-based cohort, which enabled us to triangulate evidence linking, male sex, lower educational attainment, non-White ethnicity with the risk of COVID-19. The elucidation of the joint and independent effects of these factors is a high-priority area for further research to inform on COVID-19 natural history.
AU  - Chadeau,M
AU  - Bodinier,B
AU  - Elliott,J
AU  - Whitaker,M
AU  - Tzoulaki,I
AU  - Vermeulen,R
AU  - Kelly-Irving,M
AU  - Delpierre,C
AU  - Elliott,P
DO  - ije/dyaa134
EP  - 1467
PY  - 2020///
SN  - 0300-5771
SP  - 1454
TI  - Risk factors for positive and negative COVID-19 tests: a cautious and in-depth analysis of UK Biobank data
T2  - International Journal of Epidemiology
UR  - http://dx.doi.org/10.1093/ije/dyaa134
UR  - https://academic.oup.com/ije/article/49/5/1454/5894660
UR  - http://hdl.handle.net/10044/1/80344
VL  - 49
ER  -
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