| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w28132
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| 来源ID | Working Paper 28132
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| Geospatial Analysis of the September 2020 Coronavirus Outbreak at the University of Wisconsin \u2013 Madison: Did a Cluster of Local Bars Play a Critical Role? |
| Jeffrey E. Harris
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| 发表日期 | 2020-11-23
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| 出版年 | 2020
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| 语种 | 英语
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| 摘要 | We combined smartphone mobility data with census track-based reports of positive case counts to study a coronavirus outbreak at the University of Wisconsin-Madison campus, where nearly three thousand students had become infected by the end of September 2020. We identified a cluster of twenty bars located at the epicenter of the outbreak, in close proximity to on-campus residence halls and off-campus housing. Smartphones originating from the two hardest hit residence halls (Sellery and Witte), where about one in five students were infected, were 2.95 times more likely to visit the 20-bar cluster than smartphones originating in two more distant, less affected residence halls (Ogg and Smith). By contrast, smartphones from Sellery-Witte were only 1.55 times more likely than those from Ogg-Smith to visit a group of 68 restaurants in the same area. Physical proximity thus had a much stronger influence on bar visitation than on restaurant visitation (rate ratio 1.91, 95% CI 1.29-2.85, p = 0.0007). In a separate analysis, we determined the per-capita rates of visitation to the 20-bar cluster and to the 68-restaurant comparison group by smartphones originating in each of 19 census tracts in the university area, and related these visitation rates to the per-capita incidence of newly positive coronavirus tests in each census tract. In a multivariate regression, the visitation rate to the bar cluster was a significant determinant of infection rates (elasticity 0.90, 95% CI 0.26-1.54, p = 0.009), while the restaurant visitation rate showed no such relationship. Researchers and public health professionals need to think more about the potential super-spreader effects of clusters and networks of places, rather than individual sites. |
| 主题 | Health, Education, and Welfare
; Health
; Poverty and Wellbeing
; COVID-19
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| URL | https://www.nber.org/papers/w28132
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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/585806
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推荐引用方式
GB/T 7714 |
Jeffrey E. Harris. Geospatial Analysis of the September 2020 Coronavirus Outbreak at the University of Wisconsin \u2013 Madison: Did a Cluster of Local Bars Play a Critical Role?. 2020.
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文件名：
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w28132.pdf
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格式：
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Adobe PDF
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