Institute for Translational Epidemiology and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1133, New York, NY, 10029, USA.
Department of Thoracic Surgery, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
BMC Public Health. 2021 Sep 21;21(1):1717. doi: 10.1186/s12889-021-11762-0.
Given the interplay between race and comorbidities on COVID-19 morbidity and mortality, it is vital that testing be performed in areas of greatest need, where more severe cases are expected. The goal of this analysis is to evaluate COVID-19 testing data in NYC relative to risk factors for COVID-19 disease severity and demographic characteristics of NYC neighborhoods.
COVID-19 testing and the racial/ethnic composition of NYC Zip Code Tabulation Areas (ZCTA) were obtained from the NYC Coronavirus data repository and the American Community Survey, respectively. The prevalence of neighborhood-level risk factors for COVID-19 severity according to the Centers for Disease Control and Prevention criteria for risk of severe illness and complications from COVID-19 were used to create a ZCTA-level risk index. Poisson regressions were performed to study the ratio of total tests relative to the total ZCTA population and the proportion of positive tests relative to the total tests performed over time.
From March 2nd-April 6th, the total tests/population (%) was positively associated with the proportion of white residents (IRR: 1.0003, 95% CI: 1.0003-1.0004) and the COVID risk index (IRR: 1.038, 95% CI: 1.029-1.046). The risk index (IRR: 1.017, 95% CI: 0.939-1.101) was not associated with total tests performed from April 6th-May 12th, and inversely associated from May 12th-July 6th (IRR: 0.862, 95% CI: 0.814-0.913). From March 2nd-April 6th the COVID risk index was not statistically associated (IRR: 1.010, 95% CI: 0.987-1.034) with positive tests/total tests. From April 6th-May 12th, the COVID risk index was positively associated (IRR: 1.031, 95% CI: 1.002-1.060), while from May 12th-July 6th, the risk index was inversely associated (IRR: 1.135, 95% CI: 1.042-1.237) with positivity.
Testing in NYC has suffered from the lack of availability in high-risk populations, and was initially limited as a diagnostic tool for those with severe symptoms, which were mostly concentrated in areas where vulnerable residents live. Subsequent time periods of testing were not targeted in areas according to COVID-19 disease risk, as these areas still experience more positive tests.
鉴于种族和合并症对 COVID-19 发病率和死亡率的相互影响,在需要进行检测的地区进行检测至关重要,因为这些地区预计会出现更严重的病例。本分析的目的是评估纽约市的 COVID-19 检测数据与 COVID-19 疾病严重程度的危险因素以及纽约市社区的人口统计学特征之间的关系。
COVID-19 检测数据和纽约市邮政编码区(ZCTA)的种族/族裔构成分别从纽约市冠状病毒数据存储库和美国社区调查中获得。根据疾病控制与预防中心(CDC)对 COVID-19 严重疾病和并发症风险的标准,使用社区层面的 COVID-19 严重程度危险因素的流行率来创建 ZCTA 层面的风险指数。使用泊松回归来研究总检测数与 ZCTA 总人口的比率以及随着时间的推移阳性检测数与总检测数的比率。
从 3 月 2 日至 4 月 6 日,总检测数/人口(%)与白种居民的比例呈正相关(IRR:1.0003,95%CI:1.0003-1.0004)和 COVID 风险指数(IRR:1.038,95%CI:1.029-1.046)。风险指数(IRR:1.017,95%CI:0.939-1.101)与 4 月 6 日至 5 月 12 日期间进行的总检测数无关,而与 5 月 12 日至 7 月 6 日期间的检测数呈负相关(IRR:0.862,95%CI:0.814-0.913)。从 3 月 2 日至 4 月 6 日,COVID 风险指数与阳性检测数/总检测数无统计学意义相关(IRR:1.010,95%CI:0.987-1.034)。从 4 月 6 日至 5 月 12 日,COVID 风险指数呈正相关(IRR:1.031,95%CI:1.002-1.060),而从 5 月 12 日至 7 月 6 日,风险指数与阳性率呈负相关(IRR:1.135,95%CI:1.042-1.237)。
纽约市的检测工作一直受到高危人群检测资源不足的影响,并且最初仅限于有严重症状的患者作为诊断工具,而这些患者主要集中在脆弱居民居住的地区。随后的检测时间段并未根据 COVID-19 疾病风险在这些地区进行针对性检测,因为这些地区的阳性检测仍较多。