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2019 年冠状病毒病死亡率:与族裔、人口密度、肥胖、贫困和污染有关的多变量生态分析。

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

机构信息

Centre for Public Health and Wellbeing, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK.

出版信息

Public Health. 2020 Aug;185:261-263. doi: 10.1016/j.puhe.2020.06.056. Epub 2020 Jul 7.

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.

摘要

背景

越来越多的证据表明,一些特征可能会增加 2019 年冠状病毒病(COVID-19)死亡的风险,但这些特征高度相关。

方法

本研究采用生态分析的方法,来评估地方政府层面这些变量与年龄标准化 COVID-19 死亡率之间的关联。

结果

在地方政府层面,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

本分析为哪些变量与 COVID-19 死亡率有独立关联提供了一些初步证据,同时表明其他变量(贫困和污染)与之没有直接联系。它突出了多变量分析对于理解增加 COVID-19 脆弱性的因素的重要性。

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