Gu Anna, Shafeeq Hira, Chen Ting, Gadhoke Preety
St. John's University, Queens, NY.
Innov Pharm. 2021 Jun 10;12(3). doi: 10.24926/iip.v12i3.3379. eCollection 2021.
A key to an effective Coronavirus 2019 (COVID-19) Community Intervention is to understand populations who are most vulnerable to it. We aimed at evaluating characteristics of New York City communities where rates of confirmed COVID-19 cases were particularly high. The study outcomes - neighborhood-specific confirmed COVID-19 cases, positive tests, and COVID-19 attributable deaths were calculated using data extracted from the New York City government health website, which were linked to results from Community Health Survey. Distributions of study outcomes across New York City community districts and their associations with neighborhood characteristics were examined using Jonckheere-Terpstra tests. As of May 21, 2010, rates of confirmed cases ranged from 0.8% (Greenwich Village and Soho) to 3.9% (Jackson Heights), and the rates of attributable death from to 0.6‰ (Greenwich Village and Soho) to 4.2‰ (Coney Island). Higher percentages of black, Hispanic and foreign-born populations, lower educational attainment, poverty, lack of health insurance, and suboptimal quality of health care were all factors found to be correlated with increased rates of confirmed COVID-19 cases. .
2019年冠状病毒病(COVID-19)社区有效干预的关键在于了解最易感染该病的人群。我们旨在评估纽约市确诊COVID-19病例率特别高的社区特征。研究结果——特定社区的确诊COVID-19病例、阳性检测结果和COVID-19所致死亡人数——使用从纽约市政府健康网站提取的数据进行计算,这些数据与社区健康调查结果相关联。使用琼克尔-特普斯特拉检验来研究纽约市各社区研究结果的分布及其与社区特征的关联。截至2010年5月21日,确诊病例率从0.8%(格林威治村和苏豪区)到3.9%(杰克逊高地)不等,所致死亡率从0.6‰(格林威治村和苏豪区)到4.2‰(科尼岛)不等。研究发现,黑人、西班牙裔和外国出生人口比例较高、教育程度较低、贫困、缺乏医疗保险以及医疗保健质量欠佳,均与确诊COVID-19病例率上升相关。