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

被引:38
作者
Bray, I [1 ]
Gibson, A. [1 ]
White, J. [1 ]
机构
[1] Univ West England, Ctr Publ Hlth & Wellbeing, Frenchay Campus,Coldharbour Lane, Bristol BS16 1QY, Avon, England
关键词
COVID-19; Deprivation; Ethnicity; Pollution; Overweight; Obesity; Population density;
D O I
10.1016/j.puhe.2020.06.056
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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. (C) 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:261 / 263
页数:3
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