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Analyzing disparities in COVID-19 testing trends according to risk for COVID-19 severity across New York City

机译:根据纽约市的Covid-19严重程度的风险分析Covid-19测试趋势的差异

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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 (IRRadj: 1.0003, 95% CI: 1.0003–1.0004) and the COVID risk index (IRRadj: 1.038, 95% CI: 1.029–1.046). The risk index (IRRadj: 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 (IRRadj: 0.862, 95% CI: 0.814–0.913). From March 2nd-April 6th the COVID risk index was not statistically associated (IRRadj: 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 (IRRadj: 1.031, 95% CI: 1.002–1.060), while from May 12th-July 6th, the risk index was inversely associated (IRRadj: 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.
机译:鉴于种族和融合性之间的相互作用对Covid-19发病率和死亡率,至关重要的是,在最需要的地区进行测试,预期更严重的情况。该分析的目的是评估NYC中的Covid-19测试数据,相对于Covid-19疾病严重程度和NYC社区人口特征的风险因素。 Covid-19测试和NYC邮政编码表格区域的种族/种族组成分别从NYC Coronavirus数据储存库和美国社区调查中获得。根据疾病控制和预防疾病的危险中心的Covid-19严重程度的邻域级风险因素的患病率使用严重疾病和Covid-19并发症的危险性的中心,以创造ZCTA级风险指数。进行泊松回归以研究相对于总ZCTA群体的总检验比例和相对于随时间所进行的总试验的阳性测试的比例。从3月2日 - 4月2日起,总测试/人口(%)与白人居民的比例正相关(Irradj:1.0003,95%Ci:1.0003-1.0004)和Covid风险指数(Irradj:1.038,95%CI :1.029-1.046)。风险指数(ARRADJ:1.017,95%CI:0.939-1.101)与4月6日至5月6日至5月6日至7月12日的总测试没有相关,从5月12日 - 7月6日(IRRADJ:0.862,95%CI:0.814- 0.913)。从3月2日至4月6日起,Covid风险指数没有统计相关(Irradj:1.010,95%CI:0.987-1.034),具有正测试/总测试。从4月6日至5月12日开始,Covid风险指数正相关(Irradj:1.031,95%CI:1.002-1.060),而从5月12日至7月6日开始,风险指数与逆转相关(Irradj:1.135,95%CI :1.042-1.237)具有积极性。纽约的测试遭受了高风险群体缺乏可用性,并且最初被限制为具有严重症状的人的诊断工具,这主要集中在脆弱的居民住的地区。随着这些领域仍然经历了更积极的测试,后续测试的后续时间段没有针对性地定位。

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