Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, FL 33328, USA.
Department of Internal Medicine, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Davie, FL 33328, USA.
Int J Environ Res Public Health. 2020 Nov 3;17(21):8115. doi: 10.3390/ijerph17218115.
As of 18 October 2020, over 39.5 million cases of coronavirus disease 2019 (COVID-19) and 1.1 million associated deaths have been reported worldwide. It is crucial to understand the effect of social determination of health on novel COVID-19 outcomes in order to establish health justice. There is an imperative need, for policy makers at all levels, to consider socioeconomic and racial and ethnic disparities in pandemic planning. Cross-sectional analysis from COVID Boston University's Center for Antiracist Research COVID Racial Data Tracker was performed to evaluate the racial and ethnic distribution of COVID-19 outcomes relative to representation in the United States. Representation quotients (RQs) were calculated to assess for disparity using state-level data from the American Community Survey (ACS). We found that on a national level, Hispanic/Latinx, American Indian/Alaskan Native, Native Hawaiian/Pacific Islanders, and Black people had RQs > 1, indicating that these groups are over-represented in COVID-19 incidence. Dramatic racial and ethnic variances in state-level incidence and mortality RQs were also observed. This study investigates pandemic disparities and examines some factors which inform the social determination of health. These findings are key for developing effective public policy and allocating resources to effectively decrease health disparities. Protective standards, stay-at-home orders, and essential worker guidelines must be tailored to address the social determination of health in order to mitigate health injustices, as identified by COVID-19 incidence and mortality RQs.
截至 2020 年 10 月 18 日,全球已报告超过 3950 万例 2019 年冠状病毒病(COVID-19)病例和 110 万例相关死亡。为了实现健康公正,了解健康的社会决定因素对新型 COVID-19 结局的影响至关重要。各级决策者迫切需要考虑大流行病规划中的社会经济和种族及族裔差异。对 COVID 波士顿大学反种族主义研究中心 COVID 种族数据跟踪器的横断面分析进行了评估,以评估 COVID-19 结局相对于美国代表性的种族和族裔分布。使用美国社区调查(ACS)的州级数据计算代表系数(RQ)以评估差异。我们发现,在全国范围内,西班牙裔/拉丁裔、美国印第安人/阿拉斯加原住民、夏威夷原住民/太平洋岛民和黑人的 RQ>1,表明这些群体在 COVID-19 发病率中过度代表。还观察到州一级发病率和死亡率 RQ 的显著种族和族裔差异。本研究调查了大流行病的差异,并研究了一些因素,这些因素反映了健康的社会决定因素。这些发现对于制定有效的公共政策和分配资源以有效减少健康差异至关重要。为了减轻 COVID-19 发病率和死亡率 RQ 所确定的健康不公正,必须针对健康的社会决定因素调整保护标准、居家令和必要工人准则。