| 来源类型 | Working Paper
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| 规范类型 | 报告
|
| DOI | 10.3386/w27329
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| 来源ID | Working Paper 27329
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| Understanding Spatial Variation in COVID-19 across the United States |
| Klaus Desmet; Romain Wacziarg
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| 发表日期 | 2020-06-08
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| 出版年 | 2020
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| 语种 | 英语
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| 摘要 | We analyze the correlates of COVID-19 cases and deaths across US counties. We consider a wide range of correlates - population density, public transportation, age structure, nursing home residents, connectedness to source countries, etc. - finding that these variables are important predictors of variation in disease severity. Many of the effects are persistent - even increasing - through time. We also show that there are fewer deaths and cases in counties where Donald Trump received a high share of the vote in 2016, partly explaining the emerging political divide over lockdown and reopening policies, but that this correlation is reversed when controlling for shares of minority groups. The patterns we identify are meant to improve our understanding of the drivers of the spread of COVID-19, with an eye toward helping policymakers design responses that are sensitive to the specificities of different locations. |
| 主题 | Health, Education, and Welfare
; Health
; Regional and Urban Economics
; Regional Economics
; COVID-19
|
| URL | https://www.nber.org/papers/w27329
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585000
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推荐引用方式
GB/T 7714 |
Klaus Desmet,Romain Wacziarg. Understanding Spatial Variation in COVID-19 across the United States. 2020.
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文件名：
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w27329.pdf
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格式：
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Adobe PDF
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