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Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution

BACKGROUND: There is emerging evidence about characteristics that may increase the risk of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated. METHODS: An ecological analysis was used to estimate associations between these variables and age-standardised COVID-19 mortality...

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Autores principales: Bray, I., Gibson, A., White, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society for Public Health. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340023/
https://www.ncbi.nlm.nih.gov/pubmed/32693249
http://dx.doi.org/10.1016/j.puhe.2020.06.056
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author Bray, I.
Gibson, A.
White, J.
author_facet Bray, I.
Gibson, A.
White, J.
author_sort Bray, I.
collection PubMed
description BACKGROUND: There is emerging evidence about characteristics that may increase the risk of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated. METHODS: An ecological analysis was used to estimate associations between these variables and age-standardised COVID-19 mortality rates at the local authority level. RESULTS: Ethnicity, population density and overweight/obesity were all found to have strong independent associations with COVID-19 mortality, at the local authority level. DISCUSSION: This analysis provides some preliminary evidence about which variables are independently associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not directly linked. It highlights the importance of multivariate analyses to understand the factors that increase vulnerability to COVID-19.
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spelling pubmed-73400232020-07-07 Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution Bray, I. Gibson, A. White, J. Public Health Article BACKGROUND: There is emerging evidence about characteristics that may increase the risk of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated. METHODS: An ecological analysis was used to estimate associations between these variables and age-standardised COVID-19 mortality rates at the local authority level. RESULTS: Ethnicity, population density and overweight/obesity were all found to have strong independent associations with COVID-19 mortality, at the local authority level. DISCUSSION: This analysis provides some preliminary evidence about which variables are independently associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not directly linked. It highlights the importance of multivariate analyses to understand the factors that increase vulnerability to COVID-19. The Royal Society for Public Health. Published by Elsevier Ltd. 2020-08 2020-07-07 /pmc/articles/PMC7340023/ /pubmed/32693249 http://dx.doi.org/10.1016/j.puhe.2020.06.056 Text en © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bray, I.
Gibson, A.
White, J.
Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
title Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
title_full Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
title_fullStr Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
title_full_unstemmed Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
title_short Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
title_sort coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340023/
https://www.ncbi.nlm.nih.gov/pubmed/32693249
http://dx.doi.org/10.1016/j.puhe.2020.06.056
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