Abstract
Based on the latest progress of existing social space theory, data science development and Time-Space-Behavior big data practice, this article proposed framework for healthcare governance of floating populations from the perspectives of problems and solutions. Through a systematic comparison and analysis of two cases, the study found that Time-Space-Behavior big data captures the cumulative effects of time and behavioral dynamics in crowd behaviors by simplifying the data analysis level and improving the efficiency of data information. Thereby reducing the complexity, dynamics and prediction uncertainty of health risks, and helping to achieve real-time tracking and prediction of population health. At the same time, the use of Time-Space-Behavior big data helps to transform the healthcare governance and disease prevention and control system to be a refined and dynamic one.
| Translated title of the contribution | How does the Time-Space-Behavior big data drive the improvement of the health governance of the floating population: A case study based on two practices |
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| Original language | Chinese (Simplified) |
| Pages (from-to) | 15-23 |
| Journal | 中国卫生政策研究 |
| Volume | 15 |
| Issue number | 5 (总第 164) |
| Publication status | Published - 25 May 2022 |
Research Keywords
- 健康治理
- 流动人群
- 时空行为
- 大数据
- Health governance
- Floating population
- Time-space-behavior
- Big data