| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26990 |
| 来源ID | Working Paper 26990 |
| The Geographic Spread of COVID-19 Correlates with the Structure of Social Networks as Measured by Facebook | |
| Theresa Kuchler; Dominic Russel; Johannes Stroebel | |
| 发表日期 | 2020-04-13 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We use aggregated data from Facebook to show that COVID-19 was more likely to spread between regions with stronger social network connections. Areas with more social ties to two early COVID-19 “hotspots” (Westchester County, NY, in the U.S. and Lodi province in Italy) generally had more confirmed COVID-19 cases as of the end of March. These relationships hold after controlling for geographic distance to the hotspots as well as for the income and population densities of the regions. As the pandemic progressed in the U.S., a county's social proximity to recent COVID- 19 cases predicts future outbreaks over and above physical proximity. These results suggest data from online social networks can be useful to epidemiologists and others hoping to forecast the spread of communicable diseases such as COVID-19. |
| 主题 | Health, Education, and Welfare ; Regional and Urban Economics ; COVID-19 |
| URL | https://www.nber.org/papers/w26990 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/584662 |
| 推荐引用方式 GB/T 7714 | Theresa Kuchler,Dominic Russel,Johannes Stroebel. The Geographic Spread of COVID-19 Correlates with the Structure of Social Networks as Measured by Facebook. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w26990.pdf（462KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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