| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27560 |
| 来源ID | Working Paper 27560 |
| Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-19 | |
| Victor Couture; Jonathan I. Dingel; Allison E. Green; Jessie Handbury; Kevin R. Williams | |
| 发表日期 | 2020-07-20 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | Tracking human activity in real time and at fine spatial scale is particularly valuable during episodes such as the COVID-19 pandemic. In this paper, we discuss the suitability of smartphone data for quantifying movement and social contact. We show that these data cover broad sections of the US population and exhibit movement patterns similar to conventional survey data. We develop and make publicly available a location exposure index that summarizes county-to-county movements and a device exposure index that quantifies social contact within venues. We use these indices to document how pandemic-induced reductions in activity vary across people and places. |
| 主题 | Econometrics ; Data Collection ; Regional and Urban Economics ; Regional Economics ; COVID-19 |
| URL | https://www.nber.org/papers/w27560 |
| 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/585233 |
| 推荐引用方式 GB/T 7714 | Victor Couture,Jonathan I. Dingel,Allison E. Green,et al. Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-19. 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 | ||
| w27560.pdf（649KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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