How does the Time-Space-Behavior big data drive the improvement of the health governance of the floating population?

Corresponding author: lianghailun, hliang@ruc.edu.cn

DOI: 10.12201/bmr.202207.00020

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  Abstract: Using Time-Space-Behavior big data technology to solve the problem of healthcare governance of the floating population is not only an inevitable requirement for realizing the modernization of the national governance system and governance capabilities, but also an important part of the healthy China strategy. Based on the latest developments in existing data science research, this article proposes 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.

  Key words: health governance; floating population; time-space-behavior; big data

  Submit time: 11 July 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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