首页> 美国卫生研究院文献>Morbidity and Mortality Weekly Report >Disparities in Incidence of COVID-19 Among Underrepresented Racial/Ethnic Groups in Counties Identified as Hotspots During June 5–18 2020 — 22 States February–June 2020
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Disparities in Incidence of COVID-19 Among Underrepresented Racial/Ethnic Groups in Counties Identified as Hotspots During June 5–18 2020 — 22 States February–June 2020

机译:2月20日 - 22岁的县中遭到热点的冠军/族裔群体的Covid-19中的Covid-19中的差异 - 2020年6月20日 - 2020年

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摘要

During January 1, 2020–August 10, 2020, an estimated 5 million cases of coronavirus disease 2019 (COVID-19) were reported in the United States. Published state and national data indicate that persons of color might be more likely to become infected with SARS-CoV-2, the virus that causes COVID-19, experience more severe COVID-19–associated illness, including that requiring hospitalization, and have higher risk for death from COVID-19 ( – ). CDC examined county-level disparities in COVID-19 cases among underrepresented racial/ethnic groups in counties identified as hotspots, which are defined using algorithmic thresholds related to the number of new cases and the changes in incidence. Disparities were defined as difference of ≥5% between the proportion of cases and the proportion of the population or a ratio ≥1.5 for the proportion of cases to the proportion of the population for underrepresented racial/ethnic groups in each county. During June 5–18, 205 counties in 33 states were identified as hotspots; among these counties, race was reported for ≥50% of cumulative cases in 79 (38.5%) counties in 22 states; 96.2% of these counties had disparities in COVID-19 cases in one or more underrepresented racial/ethnic groups. Hispanic/Latino (Hispanic) persons were the largest group by population size (3.5 million persons) living in hotspot counties where a disproportionate number of cases among that group was identified, followed by black/African American (black) persons (2 million), American Indian/Alaska Native (AI/AN) persons (61,000), Asian persons (36,000), and Native Hawaiian/other Pacific Islander (NHPI) persons (31,000). Examining county-level data disaggregated by race/ethnicity can help identify health disparities in COVID-19 cases and inform strategies for preventing and slowing SARS-CoV-2 transmission. More complete race/ethnicity data are needed to fully inform public health decision-making. Addressing the pandemic’s disproportionate incidence of COVID-19 in communities of color can reduce the community-wide impact of COVID-19 and improve health outcomes.
机译:2020年1月1日,2020年8月10日,在美国估计了500万例冠状病毒疾病(Covid-19)。公布的国家和国家数据表明,颜色人员可能更有可能被SARS-COV-2感染,导致Covid-19的病毒,体验更严重的Covid-19相关疾病,包括需要住院,并且具有更高Covid-19( - )死亡风险。 CDC在被确定为热点的县中的不足的种族/族裔群体中的Covid-19案件中的县级差异,这些群体使用与新病例数量相关的算法阈值和发病率的变化来定义。差异被定义为案件比例与人口比例或比例≥1.5之间的差异≥5%的差异为每个县的经验丰富的种族/族群人口比例的案件比例。 6月5日至18日,33个州的205个县被确定为热点;在这些县中,在22个州的79个(38.5%)县的累计案件中报告了≥50%; 96.2%的这些县的Covid-19案件中的一个或多个不足的种族/族裔群体差异。西班牙裔/拉丁裔(西班牙裔)人是居住在热点县的人数规模(350万人)的最大群体,其中确定了该组中的案件数量,其次是黑人/非洲裔美国人(黑色)人(200万),美国印第安人/阿拉斯加本土(AI / AN)人(61,000),亚洲人(36,000)和夏威夷本土/其他太平洋岛屿(NHPI)人(31,000)。审查由种族/民族分列的县级数据可以帮助确定Covid-19案件中的健康差异,并告知防止和减慢SARS-COV-2传输的策略。需要更加完整的种族/种族数据来充分通知公共卫生决策。解决大流行的Covid-19在彩色社区的不成比例的发病率可以降低Covid-19的社区影响,提高健康结果。

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