首页> 外文期刊>Morbidity and Mortality Weekly Report: CDC Surveillance Summaries >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:在2020年6月5日至18日确定热点的冠军/族裔群体中Covid-19中Covid-19中的差距 - 2020年2月22日,22日,2220年6月

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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 ( 1 – 5 ). 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,据估计在美国估计有500万份冠状病毒疾病(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,包括需要住院和拥有Covid-19的死亡风险较高(1 - 5)。 CDC检查了Covid-19案件中的县级差异,在鉴定为热点的县中的不足的种族/族裔群体中,使用与新案例数量的算法阈值和发病率的变化定义。还差异被定义为案件比例与人口比例与人口比例≥1.5的比例,差异≥5%,以便为每个县的经验表现出的种族/族裔群体的群体比例的比例。 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名(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/族裔群体的差异。西班牙裔/拉丁裔(西班牙裔)人是居住在热点县的人口规模(350万人)的最大群体,其中确定了该集团中的案件数量,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/其他太平洋岛民(NHPI)人(31,000)。检查县级数据分列的种族/民族分列可以帮助识别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。解决大流行病的不成比例的Covid-19在彩色社区中的发病率可以降低Covid-19的社区影响,提高健康结果。

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