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JUE Insight: Understanding spatial variation in COVID-19 across the United States.
Desmet, Klaus; Wacziarg, Romain.
  • Desmet K; Department of Economics and Cox School of Business, Southern Methodist University, 3300 Dyer, Dallas, TX 75205, USA.
  • Wacziarg R; NBER, USA.
J Urban Econ ; 127: 103332, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1720519
ABSTRACT
What factors explain spatial variation in the severity of COVID-19 across the United States? To answer this question, we analyze the correlates of COVID-19 cases and deaths across US counties. We document four sets of facts. First, effective density is an important and persistent determinant of COVID-19 severity. Second, counties with more nursing home residents, lower income, higher poverty rates, and a greater presence of African Americans and Hispanics are disproportionately impacted, and these effects show no sign of disappearing over time. Third, the effect of certain characteristics, such as the distance to major international airports and the share of elderly individuals, dies out over time. Fourth, Trump-leaning counties are less severely affected early on, but later suffer from a large severity penalty.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Long Covid Language: English Journal: J Urban Econ Year: 2022 Document Type: Article Affiliation country: J.jue.2021.103332

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Long Covid Language: English Journal: J Urban Econ Year: 2022 Document Type: Article Affiliation country: J.jue.2021.103332