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

Author:

Chaudhuri Kausik,Chakrabarti Anindita,Lima Jose Martin,Chandan Joht Singh,Bandyopadhyay Siddhartha

Abstract

AbstractBlack, 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference28 articles.

1. World Health Organization. Statement on the second meeting of the International Health Regulations. Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV). https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov). Accessed 8 June 2020.

2. John Hopkins University. COVID-19 Map—Johns Hopkins Coronavirus Resource Center. 2020. https://coronavirus.jhu.edu/map.html. Accessed 8 June 2020.

3. Embury-Dennis T. Coronavirus: A timeline of how Britain went from ‘low risk’ to an unprecedented national shutdown. Indep. 2020. https://www.independent.co.uk/news/uk/home-news/coronavirus-uk-timeline-deaths-cases-covid-19-nhs-social-distancing-a9416331.html. Accessed 22 Aug 2020.

4. Office for National Statistics. Coronavirus (COVID-19) related deaths by ethnic group, England and Wales—Office for National Statistics. Off Natl Stat 1–10 (2020).

5. Public Health England. Disparities in the risk and outcomes of COVID-19. 2020. www.facebook.com/PublicHealthEngland. Accessed 18 June 2020.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3