Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution.
Air Pollution
/ adverse effects
COVID-19
Coronavirus Infections
/ mortality
England
/ epidemiology
Ethnicity
/ statistics & numerical data
Health Status Disparities
Humans
Mortality
/ trends
Multivariate Analysis
Obesity
/ epidemiology
Pandemics
Pneumonia, Viral
/ mortality
Population Density
Risk Factors
Socioeconomic Factors
COVID-19
Deprivation
Ethnicity
Obesity
Overweight
Pollution
Population density
Journal
Public health
ISSN: 1476-5616
Titre abrégé: Public Health
Pays: Netherlands
ID NLM: 0376507
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
received:
06
05
2020
revised:
22
06
2020
accepted:
28
06
2020
pubmed:
22
7
2020
medline:
28
8
2020
entrez:
22
7
2020
Statut:
ppublish
Résumé
There is emerging evidence about characteristics that may increase the risk of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated. An ecological analysis was used to estimate associations between these variables and age-standardised COVID-19 mortality rates at the local authority level. Ethnicity, population density and overweight/obesity were all found to have strong independent associations with COVID-19 mortality, at the local authority level. 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.
Sections du résumé
BACKGROUND
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
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
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
CONCLUSIONS
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.
Identifiants
pubmed: 32693249
pii: S0033-3506(20)30294-8
doi: 10.1016/j.puhe.2020.06.056
pmc: PMC7340023
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
261-263Informations de copyright
Copyright © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
Références
Environ Pollut. 2015 Mar;198:201-10
pubmed: 25622242
JMIR Public Health Surveill. 2020 Apr 15;6(2):e18811
pubmed: 32252023
BMJ. 2020 Apr 20;369:m1548
pubmed: 32312785
Clin Obes. 2020 Jun;10(3):e12365
pubmed: 32342637