Association between overcrowded households, multigenerational households, and COVID-19: a cohort study.

Association between overcrowded households, multigenerational households, and COVID-19: a cohort study.
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DOI:
10.1016/j.puhe.2021.07.039
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发表时间:
2021-09
期刊:
影响因子:
5.2
通讯作者:
Hupert N
Hupert N
中科院分区:
医学3区
文献类型:
--
作者:
Ghosh AK;Venkatraman S;Soroka O;Reshetnyak E;Rajan M;An A;Chae JK;Gonzalez C;Prince J;DiMaggio C;Ibrahim S;Safford MM;Hupert N

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过度拥挤和多代同堂的家庭作为 COVID-19 风险因素的作用仍未得到衡量。本研究的目的是检查并量化纽约市 (NYC) 过度拥挤和多代家庭与 COVID-19 之间的关联。队列研究。我们在纽约市的邮政编码制表区 (ZCTA) 层面进行了贝叶斯生态时间序列分析,以评估过度拥挤比例(定义为每个房间超过 1 名居住者的住房单元估计数量的比例)和多代家庭(定义为祖父母和 18 岁以下孙辈居住的住宅的估计百分比)比例较高的 ZCTA 是否与较高的疑似 COVID-19 病例率独立相关(来自纽约市卫生局)。 2020年3月1日至30日健康症状监测数据)。我们的主要衡量指标是每 10,000 人中疑似 COVID-19 病例的调整后发病率 (IRR)。我们的最终模型控制了 ZCTA 级别的社会人口统计学因素(中位收入、贫困状况、白种人、基本工作人员)、与 COVID-19 严重程度相关的临床状况的患病率(肥胖、高血压、冠心病、糖尿病、哮喘、吸烟状况和慢性阻塞性肺病)以及空间聚类。纽约市 173 个 ZCTA 的急诊部门收到了 39,923 例疑似 COVID-19 病例。就过度拥挤百分比而言,第四分位数(相对于一)的 ZCTA 中调整后的 COVID-19 病例率增加了 67%(IRR 1.67,95% CI = 1.12, 2.52);对于居住在多代住房中的百分比而言,第四四分位数(相对于一)则增加了 77%(IRR 1.77,95% CI = 1.11, 2.79)。两种暴露之间的相互作用并不显着(β相互作用 = 0.99,95% CI:0.99–1.00)。过度拥挤和多代同堂的住房是疑似 COVID-19 的独立危险因素。在 COVID 病例激增的早期阶段,增加居家人口的社交距离措施可能会无意中但暂时增加这些人群中的 SARS-CoV-2 传播风险和 COVID-19 疾病。
The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households and COVID-19 in New York City (NYC). Cohort study. We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as the proportion of the estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was an adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), the prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. 39,923 suspected COVID-19 cases were presented to emergency departments across 173 ZCTAs in NYC. Adjusted COVID-19 case rates increased by 67% (IRR 1.67, 95% CI = 1.12, 2.52) in ZCTAs in quartile four (versus one) for percent overcrowdedness and increased by 77% (IRR 1.77, 95% CI = 1.11, 2.79) in quartile four (versus one) for percent living in multigenerational housing. Interaction between both exposures was not significant (βinteraction = 0.99, 95% CI: 0.99–1.00). Overcrowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of the surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.
纽约市公立医院系统中Covid-19患者的特征和结果。
DOI: 10.1371/journal.pone.0243027
发表时间: 2020
期刊: PloS one
影响因子: 3.7
作者:
Kalyanaraman Marcello R;Dolle J;Grami S;Adule R;Li Z;Tatem K;Anyaogu C;Apfelroth S;Ayinla R;Boma N;Brady T;Cosme-Thormann BF;Costarella R;Ford K;Gaither K;Jacobson J;Kanter M;Kessler S;Kristal RB;Lieber JJ;Mukherjee V;Rizzo V Jr;Rowell M;Stevens D;Sydney E;Wallach A;Chokshi DA;Davis N;New York City Health + Hospitals COVID-19 Population Health Data Team
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发表时间: 2020-10-06
影响因子: 16.6
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通讯作者: Bi Y
DOI: 10.1126/scitranslmed.abc1126
发表时间: 2020-07-29
影响因子: 17.1
作者:
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通讯作者: Washburne, Alex D.
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发表时间: 2020-11-01
影响因子: 5.6
作者:
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通讯作者: Frangos, Spiros
DOI: 10.1016/j.annepidem.2020.05.003
发表时间: 2020-07-01
影响因子: 5.6
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Millett, Gregorio A.;Jones, Austin T.;Sullivan, Patrick S.
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