Abstract
Objectives: This study examines how areas with different older population compositions are affected by Coronavirus Disease 2019 (COVID-19) and whether urban and rural counties face different challenges. Methods: Applying negative binomial regression to a data set 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 (>25% of the total population is aged 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.
Original language | English (US) |
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Pages (from-to) | E93-E98 |
Journal | Journals of Gerontology - Series B Psychological Sciences and Social Sciences |
Volume | 76 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1 2021 |
Externally published | Yes |
Keywords
- Aging
- Coronavirus
- Pandemic
- Urban-rural variations
ASJC Scopus subject areas
- Health(social science)
- Sociology and Political Science
- Life-span and Life-course Studies