Excess deaths associated with COVID-19 by rurality and demographic factors in the United States
Supporting Files
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6 2024 ; 6-2024
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Available in CDC Stacks on 2024-06-20T00:00:00Z
File Language:
English
Details
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Alternative Title:J Rural Health
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Personal Author:
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Description:Purpose: ; To estimate percent excess deaths during the COVID-19 pandemic by rural-urban residence in the United States and to describe rural-urban disparities by age, sex, and race/ethnicity. ; Methods: ; Using US mortality data, we used overdispersed Poisson regression models to estimate monthly expected death counts by rurality of residence, age group, sex, and race/ethnicity, and compared expected death counts with observed deaths. We then summarized excess deaths over 6 6-month time periods. ; Findings: ; There were 16.9% (95% confidence interval CI: 16.8, 17.0) more deaths than expected between March 2020 and February 2023. The percent excess varied by rurality (large central metro: 18.2% 18.1, 18.4, large fringe metro: 15.6% 15.5, 15.8, medium metro: 18.1% 18.0, 18.3, small metro: 15.5% 15.3, 15.7, micropolitan rural: 16.3% 16.1, 16.5, and noncore rural: 15.8% 15.6, 16.1). The percent excess deaths were 20.2% (20.1, 20.3) for males and 13.6% (13.5, 13.7) for females, and highest for Hispanic persons (49% 49.0, 49.6), followed by non-Hispanic Black persons (28% 27.5, 27.9) and non-Hispanic White persons (12% 11.6, 11.8). The 6-month time periods with the highest percent excess deaths for large central metro areas were March 2020-August 2020 and September 2020-February 2021; for all other areas, these time periods were September 2020-February 2021 and September 2021-February 2022. ; Conclusion: ; Percent excess deaths varied by rurality, age group, sex, race/ethnicity, and time period. Monitoring excess deaths by rurality may be useful in assessing the impact of the pandemic over time, as rural-urban patterns appear to differ.
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Source:J Rural Health. 40(3):491-499
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Pubmed ID:38082546
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Pubmed Central ID:PMC11164822
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Document Type:
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Funding:
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Volume:40
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Issue:3
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Main Document Checksum:urn:sha256:1cfef32f14f2a07409c0fa5b20e2044e479414fbb2fadcd36434be469ed18300
Supporting Files
File Language:
English
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