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族裔和贫困程度对 COVID-19 死亡率风险的交互作用:一项回顾性生态研究。

The interaction of ethnicity and deprivation on COVID-19 mortality risk: a retrospective ecological study.

机构信息

Economics Division, Leeds University Business School, Leeds, LS2 9JT, UK.

Institute of Applied Health Research, University of Birmingham, Birmingham, B152TT, UK.

出版信息

Sci Rep. 2021 Jun 2;11(1):11555. doi: 10.1038/s41598-021-91076-8.

Abstract

Black, Asian and Minority Ethnic (BAME) populations are at an increased risk of developing COVID-19 and consequentially more severe outcomes compared to White populations. The aim of this study was to quantify how much of the disproportionate disease burden can be attributed to ethnicity and deprivation as well as its interaction. An ecological study was conducted using data derived from the Office for National Statistics data at a Local Authority District (LAD) level in England between 1st March and 17th April 2020. The primary analysis examined how age adjusted COVID-19 mortality depends on ethnicity, deprivation, and the interaction between the two using linear regression. The secondary analysis using spatial regression methods allowed for the quantification of the extent of LAD spillover effect of COVID-19 mortality. We find that in LADs with the highest deprivation quartile, where there is a 1 percentage point increase in "Black-African (regression coefficient 2.86; 95% CI 1.08-4.64)", "Black-Caribbean (9.66: 95% CI 5.25-14.06)" and "Bangladeshi (1.95: 95% CI 1.14-2.76)" communities, there is a significantly higher age-adjusted COVID-19 mortality compared to respective control populations. In addition, the spatial regression results indicated positive significant correlation between the age-adjusted mortality in one LAD and the age-adjusted mortality in a neighbouring LAD, suggesting a spillover effect. Our results suggest targeted public health measures to support those who are deprived and belong to BAME communities as well as to encourage restricted movement between different localities to limit disease propagation.

摘要

黑色人种、亚裔和少数族裔(BAME)人群感染 COVID-19 的风险以及由此导致的更严重后果的比例高于白人人群。本研究旨在量化族裔和贫困程度及其相互作用在多大程度上导致了不成比例的疾病负担。一项生态研究使用了英格兰地方当局地区(LAD)在 2020 年 3 月 1 日至 4 月 17 日期间从国家统计局数据中得出的数据。主要分析使用线性回归检验了 COVID-19 死亡率如何随族裔、贫困程度以及两者之间的相互作用而变化。使用空间回归方法的二次分析允许量化 COVID-19 死亡率的 LAD 溢出效应的程度。我们发现,在贫困程度最高的 LAD 中,“非裔黑人(回归系数 2.86;95%CI 1.08-4.64)”、“非裔加勒比(9.66;95%CI 5.25-14.06)”和“孟加拉裔(1.95;95%CI 1.14-2.76)”社区每增加 1 个百分点,年龄调整后的 COVID-19 死亡率明显更高。此外,空间回归结果表明,一个 LAD 的年龄调整死亡率与相邻 LAD 的年龄调整死亡率之间存在正显著相关,表明存在溢出效应。我们的研究结果表明,需要采取有针对性的公共卫生措施,以支持贫困和属于 BAME 社区的人群,并鼓励限制不同地区之间的流动,以限制疾病传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c43a/8172854/fcf94a3bec8d/41598_2021_91076_Fig1_HTML.jpg

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