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美国县级社会脆弱性和种族/民族与新冠病毒疾病发病率及转归之间关联的时间趋势:一项生态分析

Temporal trends in the association of social vulnerability and race/ethnicity with county-level COVID-19 incidence and outcomes in the USA: an ecological analysis.

作者信息

Islam Shabatun J, Nayak Aditi, Hu Yingtian, Mehta Anurag, Dieppa Katherine, Almuwaqqat Zakaria, Ko Yi-An, Patel Shivani A, Goyal Abhinav, Sullivan Samaah, Lewis Tené T, Vaccarino Viola, Morris Alanna A, Quyyumi Arshed A

机构信息

Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia, USA.

Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

出版信息

BMJ Open. 2021 Jul 22;11(7):e048086. doi: 10.1136/bmjopen-2020-048086.

Abstract

BACKGROUND

The COVID-19 pandemic adversely affected the socially vulnerable and minority communities in the USA initially, but the temporal trends during the year-long pandemic remain unknown.

OBJECTIVE

We examined the temporal association of county-level Social Vulnerability Index (SVI), a percentile-based measure of social vulnerability to disasters, its subcomponents and race/ethnic composition with COVID-19 incidence and mortality in the USA in the year starting in March 2020.

METHODS

Counties (n=3091) with ≥50 COVID-19 cases by 6 March 2021 were included in the study. Associations between SVI (and its subcomponents) and county-level racial composition with incidence and death per capita were assessed by fitting a negative-binomial mixed-effects model. This model was also used to examine potential time-varying associations between weekly number of cases/deaths and SVI or racial composition. Data were adjusted for percentage of population aged ≥65 years, state-level testing rate, comorbidities using the average Hierarchical Condition Category score, and environmental factors including average fine particulate matter of diameter ≥2.5 μm, temperature and precipitation.

RESULTS

Higher SVI, indicative of greater social vulnerability, was independently associated with higher COVID-19 incidence (adjusted incidence rate ratio per 10 percentile increase: 1.02, 95% CI 1.02 to 1.03, p<0.001) and death per capita (1.04, 95% CI 1.04 to 1.05, p<0.001). SVI became an independent predictor of incidence starting from March 2020, but this association became weak or insignificant by the winter, a period that coincided with a sharp increase in infection rates and mortality, and when counties with higher proportion of white residents were disproportionately represented ('third wave'). By spring of 2021, SVI was again a predictor of COVID-19 outcomes. Counties with greater proportion of black residents also observed similar temporal trends in COVID-19-related adverse outcomes. Counties with greater proportion of Hispanic residents had worse outcomes throughout the duration of the analysis.

CONCLUSION

Except for the winter 'third wave', when majority of the white communities had the highest incidence of cases, counties with greater social vulnerability and proportionately higher minority populations experienced worse COVID-19 outcomes.

摘要

背景

新冠疫情最初对美国社会弱势群体和少数族裔社区产生了不利影响,但长达一年的疫情期间的时间趋势仍不明确。

目的

我们研究了县级社会脆弱性指数(SVI)(一种基于百分位数的灾害社会脆弱性衡量指标)、其各子成分以及种族/族裔构成与2020年3月开始的这一年美国新冠疫情发病率和死亡率之间的时间关联。

方法

纳入截至2021年3月6日新冠病例数≥50例的县(n = 3091)。通过拟合负二项混合效应模型评估SVI(及其子成分)与县级种族构成与人均发病率和死亡率之间的关联。该模型还用于检验每周病例数/死亡数与SVI或种族构成之间潜在的随时间变化的关联。数据针对65岁及以上人口百分比、州级检测率、使用平均分层条件类别评分的合并症以及包括直径≥2.5μm的平均细颗粒物、温度和降水量在内的环境因素进行了调整。

结果

较高的SVI表明社会脆弱性更大,它与更高的新冠发病率(每增加10个百分位数的调整发病率比:1.02,95%置信区间1.02至1.03,p < 0.001)和人均死亡率(1.04,95%置信区间1.04至1.05,p < 0.001)独立相关。SVI从2020年3月开始成为发病率的独立预测因素,但到冬季这种关联变弱或不显著,冬季期间感染率和死亡率急剧上升,且白人居民比例较高的县占比过高(“第三波”)。到2021年春季,SVI再次成为新冠疫情结果的预测因素。黑人居民比例较高的县在与新冠相关的不良结果方面也观察到类似的时间趋势。在整个分析期间,西班牙裔居民比例较高的县结果更差。

结论

除了冬季的“第三波”,即大多数白人社区病例发病率最高的时候,社会脆弱性更大且少数族裔人口比例相对较高的县新冠疫情结果更差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac52/8300549/e508146fb233/bmjopen-2020-048086f01.jpg

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