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OBJECTIVES: This study examines how areas with older populations are affected by COVID-19 and whether urban and rural counties face different challenges. METHODS: Applying negative binomial regression to a dataset of U.S. counties (N = 3,042), we estimated the relationship between older population ratios and the number of confirmed COVID-19 cases, and how this relationship changes over time in urban and rural counties, respectively. RESULTS: Although low-ratio counties show the highest number of confirmed cases of COVID-19 at the beginning of the pandemic, confirmed cases in high-ratio counties (more than 25% of the total population is 65 and older) increase exponentially with time in urban areas. High-ratio rural counties hit their peak later and recover more slowly compared to low- and medium-ratio rural counties. DISCUSSION: Both urban and rural counties with larger older populations are more vulnerable and their disadvantages in COVID-19 infections are more rapidly exacerbated over time in urban areas. This underscores the importance of early action in those counties for effective intervention and prevention.
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J_Gerontol_B_Psychol_Sci_Soc_Sci
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document_parses/pdf_json/5cd687576b5c2b936866413089c1162fd3975b8e.json
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Are Older Populations at a Disadvantage? County-Level Analysis of Confirmed COVID-19 Cases in Urban and Rural America
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