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美国农村-城市连续体中 COVID-19 的社区易感性和弹性。

Community Susceptibility and Resiliency to COVID-19 Across the Rural-Urban Continuum in the United States.

机构信息

Department of Sociology, Iowa State University, Ames, Iowa.

出版信息

J Rural Health. 2020 Jun;36(3):446-456. doi: 10.1111/jrh.12477. Epub 2020 Jun 16.

Abstract

PURPOSE

This study creates a COVID-19 susceptibility scale at the county level, describes its components, and then assesses the health and socioeconomic resiliency of susceptible places across the rural-urban continuum.

METHODS

Factor analysis grouped 11 indicators into 7 distinct susceptibility factors for 3,079 counties in the conterminous United States. Unconditional mean differences are assessed using a multivariate general linear model. Data from 2018 are primarily taken from the US Census Bureau and CDC.

RESULTS

About 33% of rural counties are highly susceptible to COVID-19, driven by older and health-compromised populations, and care facilities for the elderly. Major vulnerabilities in rural counties include fewer physicians, lack of mental health services, higher disability, and more uninsured. Poor Internet access limits telemedicine. Lack of social capital and social services may hinder local pandemic recovery. Meat processing facilities drive risk in micropolitan counties. Although metropolitan counties are less susceptible due to healthier and younger populations, about 6% are at risk due to community spread from dense populations. Metropolitan vulnerabilities include minorities at higher health and diabetes risk, language barriers, being a transportation hub that helps spread infection, and acute housing distress.

CONCLUSIONS

There is an immediate need to know specific types of susceptibilities and vulnerabilities ahead of time to allow local and state health officials to plan and allocate resources accordingly. In rural areas it is essential to shelter-in-place vulnerable populations, whereas in large metropolitan areas general closure orders are needed to stop community spread. Pandemic response plans should address vulnerabilities.

摘要

目的

本研究创建了一个县级 COVID-19 易感性量表,描述其组成部分,然后评估整个城乡连续体中易感地区的健康和社会经济弹性。

方法

因素分析将 11 个指标分为 7 个不同的易感性因素,涵盖了美国大陆的 3079 个县。使用多变量一般线性模型评估无条件均值差异。2018 年的数据主要来自美国人口普查局和疾病控制与预防中心。

结果

约 33%的农村县极易感染 COVID-19,这主要是由人口老龄化和健康受损以及老年人护理设施所驱动。农村县的主要脆弱性包括医生较少、缺乏心理健康服务、残疾率较高和更多的未参保者。互联网接入不畅限制了远程医疗的发展。社会资本和社会服务的缺乏可能会阻碍当地的大流行恢复。肉类加工设施增加了大都市县的风险。虽然大都市县由于人口更年轻和更健康,感染风险较低,但由于人口密集导致社区传播,约有 6%的县存在风险。大都市县的脆弱性包括健康和糖尿病风险较高的少数民族、语言障碍、作为传播感染的交通枢纽以及急性住房困境。

结论

在大流行之前,及时了解特定类型的易感性和脆弱性是非常必要的,这可以使地方和州卫生官员能够提前计划和分配资源。在农村地区,保护弱势群体至关重要,而在大型大都市地区,则需要全面关闭以阻止社区传播。大流行应对计划应解决脆弱性问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e66/7323251/3d731efa6db2/JRH-36-446-g001.jpg

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