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美国拉丁裔人群中感染和死于 COVID-19 的风险:探究传播动态中的异质性。

Risk for COVID-19 infection and death among Latinos in the United States: examining heterogeneity in transmission dynamics.

机构信息

Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC.

Center for Latino Adolescent and Family Health, New York University, New York.

出版信息

Ann Epidemiol. 2020 Dec;52:46-53.e2. doi: 10.1016/j.annepidem.2020.07.007. Epub 2020 Jul 23.

Abstract

PURPOSE

The purpose of this study was to ascertain COVID-19 transmission dynamics among Latino communities nationally.

METHODS

We compared predictors of COVID-19 cases and deaths between disproportionally Latino counties (≥17.8% Latino population) and all other counties through May 11, 2020. Adjusted rate ratios (aRRs) were estimated using COVID-19 cases and deaths via zero-inflated binomial regression models.

RESULTS

COVID-19 diagnoses rates were greater in Latino counties nationally (90.9 vs. 82.0 per 100,000). In multivariable analysis, COVID-19 cases were greater in Northeastern and Midwestern Latino counties (aRR: 1.42, 95% CI: 1.11-1.84, and aRR: 1.70, 95% CI: 1.57-1.85, respectively). COVID-19 deaths were greater in Midwestern Latino counties (aRR: 1.17, 95% CI: 1.04-1.34). COVID-19 diagnoses were associated with counties with greater monolingual Spanish speakers, employment rates, heart disease deaths, less social distancing, and days since the first reported case. COVID-19 deaths were associated with household occupancy density, air pollution, employment, days since the first reported case, and age (fewer <35 yo).

CONCLUSIONS

COVID-19 risks and deaths among Latino populations differ by region. Structural factors place Latino populations and particularly monolingual Spanish speakers at elevated risk for COVID-19 acquisition.

摘要

目的

本研究旨在确定全国拉丁裔社区中 COVID-19 的传播动态。

方法

我们比较了 2020 年 5 月 11 日前,人口中拉丁裔比例超过 17.8%的县(即不均衡的拉丁裔县)与其他所有县之间 COVID-19 病例和死亡的预测因素。通过零膨胀二项式回归模型,使用 COVID-19 病例和死亡数据来估计调整后的比率比(aRR)。

结果

全国拉丁裔县的 COVID-19 诊断率较高(90.9/10 万比 82.0/10 万)。多变量分析显示,东北和中西部拉丁裔县的 COVID-19 病例较多(aRR:1.42,95%CI:1.11-1.84,aRR:1.70,95%CI:1.57-1.85)。中西部拉丁裔县的 COVID-19 死亡人数较高(aRR:1.17,95%CI:1.04-1.34)。COVID-19 诊断与讲西班牙语的人数较多、就业率较高、心脏病死亡率较高、社会隔离程度较低以及首例报告病例以来的天数有关。COVID-19 死亡与家庭居住密度、空气污染、就业、首例报告病例以来的天数以及年龄(35 岁以下的人数较少)有关。

结论

拉丁裔人群中 COVID-19 的风险和死亡因地区而异。结构性因素使拉丁裔人群,特别是只会说西班牙语的人面临更高的 COVID-19 感染风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2669/7375962/bcae8a20d20a/gr1_lrg.jpg

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