Article ; Online: Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution.
2020 Volume 185, Page(s) 261–263
Abstract: ... of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated.: Methods: An ecological ... rates at the local authority level.: Results: Ethnicity, population density and overweight/obesity ... independently associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not ...
Abstract | 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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MeSH term(s) | Air Pollution/adverse effects ; Air Pollution/statistics & numerical data ; 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 |
Keywords | covid19 |
Language | English |
Publishing date | 2020-07-07 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 427333-3 |
ISSN | 1476-5616 ; 0033-3506 |
ISSN (online) | 1476-5616 |
ISSN | 0033-3506 |
DOI | 10.1016/j.puhe.2020.06.056 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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