Cato T. Laurencin Institute for Regenerative Engineering, University of Connecticut, 263 Farmington Avenue, Farmington, CT, USA.
Raymond and , Beverly Sackler Center for Biomedical, Biological, Physical and Engineering Sciences, University of Connecticut Health, Farmington, CT, USA.
J Racial Ethn Health Disparities. 2023 Dec;10(6):3188-3193. doi: 10.1007/s40615-023-01823-y. Epub 2023 Oct 19.
Throughout the coronavirus (COVID-19) pandemic, research revealed people of color were more likely to be infected, have severe illness, and die due to the virus. However, some areas in the USA are now reporting a new shift; lower Black and Hispanic COVID-19 mortality rates compared to their White counterparts. Research indicates that this shift is the result of COVID-19's impact on disparities by race. In this paper, we analyze death data to determine if the new shift has occurred locally. Specifically, we examined COVID-19 prevalence and related death data in Connecticut by comparing race/ethnicity through two periods of time: one before and one after the first case of the Omicron variant of COVID-19.
This cross-sectional epidemiological analysis to examine cases and deaths by racial/ethnic status utilizes Connecticut data from March 2020 to February 2022. The following assumption is applied: expected pre-Omicron cases and deaths from March 5, 2020 to November 27, 2021 are equal to the number of cases and deaths during Omicron cases and deaths from November 28, 2021 to February 17, 2022. Race/ethnicity are operationalized as non-Hispanic White, non-Hispanic Black, and Hispanic.
Pre-Omicron (March 5, 2020 to November 27, 2021) compared to the monthly aged adjusted COVID-19 case rate for Whites (394/10,000 populations), Blacks had a higher rate (501/10,000 populations), and Hispanics had the highest (585/10,000 populations). During the Omicron period (November 28 to February 17, 2022), significant changes in COVID-19 case rates were observed in all three ethnic groups, but the biggest changes were observed in Hispanics, followed by Blacks, and then Whites. The rate ratios further showed a remarkable reduction of 47% in case rates (from 1.0 pre-Omicron and from 1.47 during Omicron, p < 0.0001) for Hispanics, when compared to that of Whites. While Blacks showed a significant, smaller reduction of 5% in case rates (from 1.27 pre-Omicron and from 1.22 during the Omicron, p < 0.001) when compared to Whites. Regarding COVID-19-related mortality, the racial differences were similar.
By examining Connecticut's COVID-19 death and case data, this study identified the new shift that occurred locally. The current shift may be anchored in the evolution of the COVID-19 virus, public health guidelines/policies, and the degree to which populations have complied with public health recommendations.
在整个冠状病毒(COVID-19)大流行期间,研究表明,由于该病毒,有色人种更有可能被感染、出现重症和死亡。然而,美国的一些地区现在报告了一个新的转变;与白人相比,黑人及西班牙裔的 COVID-19 死亡率较低。研究表明,这种转变是 COVID-19 对种族差异影响的结果。在本文中,我们分析了死亡数据,以确定这种新的转变是否在当地发生。具体来说,我们通过比较两个时期的种族/族裔来检查康涅狄格州的 COVID-19 患病率和相关死亡数据:一个是在 Omicron 变异的 COVID-19 首例病例之前,另一个是在 Omicron 病例之后。
本横断面流行病学分析利用康涅狄格州 2020 年 3 月至 2022 年 2 月的数据,按种族/族裔地位检查病例和死亡情况。应用以下假设:预期 Omicron 前(2020 年 3 月 5 日至 2021 年 11 月 27 日)的病例和死亡人数与 Omicron 病例和死亡人数期间(2021 年 11 月 28 日至 2022 年 2 月 17 日)的病例和死亡人数相等。种族/族裔被定义为非西班牙裔白人、非西班牙裔黑人、和西班牙裔。
在 Omicron 之前(2020 年 3 月 5 日至 2021 年 11 月 27 日)与白人的每月年龄调整 COVID-19 病例率(394/10,000 人口)相比,黑人的发病率更高(501/10,000 人口),而西班牙裔的发病率最高(585/10,000 人口)。在 Omicron 期间(2021 年 11 月 28 日至 2022 年 2 月 17 日),所有三个种族群体的 COVID-19 病例率都发生了显著变化,但西班牙裔的变化最大,其次是黑人,然后是白人。率比进一步显示,与白人相比,西班牙裔的病例率显著降低了 47%(从 Omicron 前的 1.0 降至 1.47,p<0.0001)。而黑人的病例率降低了 5%(从 Omicron 前的 1.27 降至 1.22,p<0.001),与白人相比,这一降幅较小。关于 COVID-19 相关死亡率,种族差异相似。
通过检查康涅狄格州的 COVID-19 死亡和病例数据,本研究确定了当地发生的新转变。目前的转变可能以 COVID-19 病毒的演变、公共卫生指南/政策以及人群遵守公共卫生建议的程度为基础。