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Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities.新冠疫情中的种族和族裔差异:来自六个大城市的证据。
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J Econ Inequal. 2021;19(3):509-526. doi: 10.1007/s10888-021-09487-6. Epub 2021 Aug 2.
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Spatiotemporal ecological study of COVID-19 mortality in the city of São Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions.巴西圣保罗市 COVID-19 死亡率的时空生态研究:高死亡率风险从社会经济条件最好的地区转移到最差的地区。
Travel Med Infect Dis. 2021 Jan-Feb;39:101945. doi: 10.1016/j.tmaid.2020.101945. Epub 2020 Dec 2.
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Disparities in the Population at Risk of Severe Illness From COVID-19 by Race/Ethnicity and Income.按种族/族裔和收入划分的新冠重症风险人群差异
Am J Prev Med. 2020 Jul;59(1):137-139. doi: 10.1016/j.amepre.2020.04.003. Epub 2020 Apr 27.
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Assessing differential impacts of COVID-19 on black communities.评估 COVID-19 对黑人群体的差异化影响。
Ann Epidemiol. 2020 Jul;47:37-44. doi: 10.1016/j.annepidem.2020.05.003. Epub 2020 May 14.
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Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection.估计接触感染或疾病的美国工人的负担:控制 COVID-19 感染风险的关键因素。
PLoS One. 2020 Apr 28;15(4):e0232452. doi: 10.1371/journal.pone.0232452. eCollection 2020.

社会经济因素与巴西因新冠病毒死亡的概率。

Socioeconomic factors and the probability of death by Covid-19 in Brazil.

机构信息

Institute for Applied Economic Research (IPEA), Rio de Janeiro, Brazil.

Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.

出版信息

J Public Health (Oxf). 2021 Sep 22;43(3):493-498. doi: 10.1093/pubmed/fdaa279.

DOI:10.1093/pubmed/fdaa279
PMID:33501982
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7928781/
Abstract

BACKGROUND

To design better measures to contain the Covid-19 epidemics, it is relevant to know whether socioeconomic factors are associated with a higher risk of death by Covid-19. This work estimates the effects of individual socioeconomic characteristics on the risk of death by Covid-19.

METHODS

Logistic models were estimated to assess the effect of socioeconomic characteristics (income, race/ethnicity, schooling, occupation and economic activity) on the risk of death from Covid-19. For this purpose, Covid-19 individual death records in Rio de Janeiro state, Brazil were combined with the Annual Register of Social Information, which contains socioeconomic information about formal workers.

FINDINGS

Workers employed in establishments in the health and public safety sectors present a risk of dying 2.46 and 2.25 times higher than those employed in other activities. Non-white people, men, and those who work in the Metropolitan Region are also more likely to die from Covid-19. People with higher education are 44% less likely to die from the disease.

CONCLUSIONS

Some population groups are more vulnerable to the Covid-19 pandemic and individual socioeconomic conditions play a relevant role in the probability of death by the disease. That should be considered in the design of prevention policies to be adopted.

摘要

背景

为了设计更好的措施来控制新冠疫情,了解社会经济因素是否与更高的新冠死亡率风险相关是很重要的。这项工作旨在评估个体社会经济特征对新冠死亡率风险的影响。

方法

采用逻辑回归模型来评估社会经济特征(收入、种族/民族、教育程度、职业和经济活动)对新冠死亡风险的影响。为此,将巴西里约热内卢州的新冠个体死亡记录与社会信息年度登记册相结合,该登记册包含了正规工人的社会经济信息。

结果

在卫生和公共安全部门机构工作的工人死于新冠的风险比从事其他活动的工人高 2.46 倍和 2.25 倍。非白人、男性和在大都市区工作的人也更有可能死于新冠。受教育程度较高的人死于该疾病的风险降低 44%。

结论

一些人群更容易受到新冠大流行的影响,个体的社会经济状况在疾病死亡率方面起着重要作用。在制定将要采取的预防政策时应考虑到这一点。