The use of human mobility data on infectious disease control: Covid-19 as an example
Journal
Taiwan Journal of Public Health
Series/Report No.
Taiwan Journal of Public Health
Journal Volume
42
Journal Issue
2
Date Issued
2023-04-01
Author(s)
Fu, Han
Chan, Ta-Chien
Wu, Chieh-Yin
Lan, Chih-Chan
Chou, Mei-Fang
Lim, Chen-Fatt
Lee, Wei-Sen
Chen, Wei-Jen
Liu, Yu-Lun
Cheng, Hao-Yuan
Lin, Bo-Cheng
Kuo, Fei-Ying
Lin, Yu-Xuan
Tsai, Yi-Chen
Chang, Ning
Lin, Hsien-Ho
Chang, Hsiao-Han
Abstract
Human mobility data are used to evaluate the effectiveness of crowd control measures and delineate geographical zones and other epidemic prevention decisions for the COVID-19 epidemic. This application experience also revealed the challenges faced by the application of human mobility data in infectious disease research and practice. For example, there is no available public data and its usage regulations and empirical data to support the research results of the relationship between human movement and epidemic. Moreover, the three parties - data provider, researcher, and practical worker - have no approach to communicating with each other. It is suggested that in the future, a tripartite collaboration mode can be developed in which major domestic telecommunications companies provide, the National Disaster Prevention Center handles and maintains, and the government and research institutions apply to the National Disaster Prevention Center for use; establish a complete data platform and strengthen instant communication and cooperation channels.
Subjects
Big data
COVID-19
Human mobility data
Infectious disease control
Type
journal article