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边缘化社区中 COVID-19 的社会决定因素和指标:对大流行应对和恢复的科学审查和行动呼吁。

Social Determinants and Indicators of COVID-19 Among Marginalized Communities: A Scientific Review and Call to Action for Pandemic Response and Recovery.

机构信息

The University of Tennessee Health Science Center (UTHSC) - Oak Ridge National Laboratory (ORNL) Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, TN, USA.

The Bredesen Center for Data Science and Engineering, University of Tennessee, Knoxville, TN, USA.

出版信息

Disaster Med Public Health Prep. 2022 May 2;17:e193. doi: 10.1017/dmp.2022.104.

Abstract

Coronavirus disease 2019 (COVID-19) has placed massive socio-psychological, health, and economic burdens including deaths on countless lives; however, it has disproportionally impacted certain populations. Co-occurring Social Determinants of Health (SDoH) disparities and other underlying determinants have exacerbated the COVID-19 pandemic. This literature review sought to (1) examine literature focused on SDoH and COVID-19 outcomes ie, infectivity, hospitalization, and death rates among marginalized communities; and (2) identify SDoH disparities associated with COVID-19 outcomes. We searched electronic databases for studies published from October 2019 to October 2021. Studies that were selected were those intersecting SDoH indicators and COVID-19 outcomes and were conducted in the United States. Our review underscored the disproportionate vulnerabilities and adverse outcomes from COVID-19 that have impacted racial/ethnic minority communities and other disadvantaged groups (ie, senior citizens, and displaced/homeless individuals). COVID-19 outcomes were associated with SDoH indicators, ie, race/ethnicity, poverty, median income level, housing density, housing insecurity, health-care access, occupation, transportation/commuting patterns, education, air quality, food insecurity, old age, etc. Our review concluded with recommendations and a call to action to integrate SDoH indicators along with relevant health data when implementing intelligent solutions and intervention strategies to pandemic response/recovery among vulnerable populations.

摘要

2019 年冠状病毒病(COVID-19)给无数人的生活带来了巨大的社会心理、健康和经济负担,包括死亡;然而,它对某些人群的影响不成比例。共同存在的健康社会决定因素(SDoH)差异和其他潜在决定因素使 COVID-19 大流行更加恶化。本文献综述旨在:(1)研究 SDoH 和 COVID-19 结果(即边缘化社区的感染率、住院率和死亡率)相关的文献;(2)确定与 COVID-19 结果相关的 SDoH 差异。我们从 2019 年 10 月至 2021 年 10 月期间在电子数据库中搜索了发表的研究。选择的研究是那些 intersecting SDoH 指标和 COVID-19 结果的研究,并在美国进行。我们的综述强调了 COVID-19 对种族/族裔少数群体和其他弱势群体(即老年人和流离失所/无家可归者)的不成比例的脆弱性和不利后果。COVID-19 结果与 SDoH 指标相关,例如种族/族裔、贫困、中位收入水平、住房密度、住房不安全、医疗保健获取、职业、交通/通勤模式、教育、空气质量、粮食不安全、老年等。我们的综述最后提出了建议和呼吁,要求在为弱势群体实施智能解决方案和干预策略以应对大流行时,将 SDoH 指标与相关健康数据结合起来。

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