Time Trends in Racial/Ethnic Differences in COVID-19 Infection and Mortality.

Time Trends in Racial/Ethnic Differences in COVID-19 Infection and Mortality.
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DOI:
10.3390/ijerph18094848
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发表时间:
2021-05-01
影响因子:
--
通讯作者:
Washington DL
Washington DL
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wong MS;Haderlein TP;Yuan AH;Moy E;Jones KT;Washington DL

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记录美国2019冠状病毒病(COVID-19)种族/民族差异的研究仅限于大流行最初几个月的数据,没有考虑随着时间的推移而发生的变化,并且主要集中在黑人和西班牙裔少数群体。为了填补这些空白,我们研究了COVID-19感染和死亡率的种族/民族差异的时间趋势。我们使用了退伍军人健康管理局(VHA)的退伍军人COVID-19感染三个时间段的国家数据库:2020年3月1日至2020年5月31日(春季); 2020年6月1日至2020年8月31日(夏季); 2020年9月1日至2020年11月25日(秋季)。我们通过logistic回归模型计算了COVID-19感染和死亡率的预测概率,该模型包括时间段与种族/民族的相互作用项,并控制了年龄,性别和既往CDC风险因素的诊断。COVID-19感染和死亡风险较高的种族/族裔群体随时间而变化。美国印第安人/阿拉斯加原住民(AI/AN)、黑人、西班牙裔和夏威夷原住民/其他太平洋岛民在夏季期间的COVID-19感染率高于白人。在春季,黑人和AI/AN,亚洲人和西班牙裔人的死亡率存在差异。政策制定者应考虑到随着大流行的发展,种族/民族差异的动态性质,以及风险缓解和其他(例如,(三)针对这些差异的政策。研究人员应该考虑在其他样本中差异的趋势如何随着时间的推移而变化。
Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration’s (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020–5/31/2020 (spring); 6/1/2020–8/31/2020 (summer); and 9/1/2020–11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection and mortality changed over time. American Indian/Alaskan Natives (AI/AN), Blacks, Hispanics, and Native Hawaiians/Other Pacific Islanders experienced higher COVID-19 infections compared to Whites during the summertime. There were mortality disparities for Blacks in springtime, and AI/ANs, Asians, and Hispanics in summertime. Policy makers should consider the dynamic nature of racial/ethnic disparities as the pandemic evolves, and potential effects of risk mitigation and other (e.g., economic) policies on these disparities. Researchers should consider how trends in disparities change over time in other samples.
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发表时间: 2020-12-10
影响因子: --
作者:
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发表时间: 2020-10
期刊: Cancer discovery
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作者:
Rivera DR;Peters S;Panagiotou OA;Shah DP;Kuderer NM;Hsu CY;Rubinstein SM;Lee BJ;Choueiri TK;de Lima Lopes G Jr;Grivas P;Painter CA;Rini BI;Thompson MA;Arcobello J;Bakouny Z;Doroshow DB;Egan PC;Farmakiotis D;Fecher LA;Friese CR;Galsky MD;Goel S;Gupta S;Halfdanarson TR;Halmos B;Hawley JE;Khaki AR;Lemmon CA;Mishra S;Olszewski AJ;Pennell NA;Puc MM;Revankar SG;Schapira L;Schmidt A;Schwartz GK;Shah SA;Wu JT;Xie Z;Yeh AC;Zhu H;Shyr Y;Lyman GH;Warner JL;COVID-19 and Cancer Consortium
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