Regional Association of Disability and SARS-CoV-2 Infection in 369 Counties of the United States
Regional Association of Disability and SARS-CoV-2 Infection in 369 Counties of the United States
Abstract BackgroundThere have been outbreaks of SARS-CoV-2 in long term care facilities and recent reports of disproportionate death rates among the vulnerable population. The goal of this study was to better understand the impact of SARS-CoV-2 infection on the non-institutionalized disabled population in the United States using data from the most affected states as of April 9th, 2020. MethodsThis was an ecological study of county-level factors associated with the infection and mortality rate of SARS-CoV-2 in the non-institutionalized disabled population. We analyzed data from 369 counties from the most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts) in the United States using data available by April 9th, 2020. The variables include changes in mobility reported by Google, race/ethnicity, median income, education level, health insurance, and disability information from the United States Census Bureau. Bivariate regression analysis adjusted for state and median income was used to analyze the association between death rate and infection rate. ResultsThe independent sample t-test of two groups (group 1: Death rate≥3.4% [median] and group 2: Death rate < 3.4%) indicates that counties with a higher total population, a lower percentage of Black males and females, higher median income, higher education, and lower percentage of disabled population have a lower rate (< 3.4%) of SARS-CoV-2 related mortality (all p-values<4.3E-02). The results of the bivariate regression when controlled for median income and state show counties with a higher White disabled population (est: 0.19, 95% CI: 0.01-0.37; p-value:3.7E-02), and higher population with independent living difficulty (est: 0.15, 95% CI: ?0.01-0.30; p-value: 6.0E-02) have a higher rate of SARS-CoV-2 related mortality. Also, the regression analysis indicates that counties with higher White disabled population (est: - 0.22, 95% CI: ?0.43-(-0.02); p-value: 3.3E-02), higher population with hearing disability (est: ?0.26, 95% CI: - 0.42- (-0.11); p-value:1.2E-03), and higher population with disability in the 18-34 years age group (est: ?0.25, 95% CI: ?0.41-(-0.09); p-value:2.4E-03) show a lower rate of SARS-CoV-2 infection. ConclusionOur results indicate that while counties with a higher percentage of non-institutionalized disabled population, especially White disabled population, show a lower infection rate, they have a higher rate of SARS-CoV-2 related mortality.
Olulana Oluwaseyi、Abedi Vida、Chaudhary Durgesh、Shahjouei Shima、Avula Venkatesh、Zand Ramin、Li Jiang、Khan Ayesha
Geisinger Commonwealth School of MedicineDepartment of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System||Biocomplexity Institute, Virginia TechGeisinger Neuroscience Institute, Geisinger Health SystemGeisinger Neuroscience Institute, Geisinger Health SystemDepartment of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health SystemGeisinger Neuroscience Institute, Geisinger Health SystemDepartment of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health SystemGeisinger Neuroscience Institute, Geisinger Health System
医学研究方法医药卫生理论预防医学
Disability disparitiesHealthcare disparitiesNon-institutionalized disabled populationRacial disparityHealth disparitySocioeconomic factorsCOVID19United StatesPopulation-based analysisEcological study
Olulana Oluwaseyi,Abedi Vida,Chaudhary Durgesh,Shahjouei Shima,Avula Venkatesh,Zand Ramin,Li Jiang,Khan Ayesha.Regional Association of Disability and SARS-CoV-2 Infection in 369 Counties of the United States[EB/OL].(2025-03-28)[2025-04-29].https://www.medrxiv.org/content/10.1101/2020.06.24.20139212.点此复制
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