Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution
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DOI：
10.1016/j.puhe.2020.06.056
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发表时间：
2020-08-01
期刊：
影响因子：
5.2
通讯作者：
White, J.
中科院分区：
文献类型：
--
作者：
Bray, I;Gibson, A.;White, J.
背景资料：有新的证据表明可能增加冠状病毒疾病风险的特征2019（COVID-19）死亡率，但它们高度相关。方法：使用生态分析来估计这些变量与地方当局层面年龄标准化COVID-19死亡率之间的关联。结果：在地方当局层面，种族、人口密度和超重/肥胖都与COVID-19死亡率有很强的独立关联。讨论：这项分析提供了一些初步证据，说明哪些变量与COVID-19死亡率独立相关，并表明其他变量（剥夺和污染）没有直接联系。它强调了多变量分析的重要性，以了解增加对COVID-19的脆弱性的因素。(C)2020年皇家公共卫生学会。由爱思唯尔有限公司出版。保留所有权利。
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.