LI Deren, SHAO Zhenfeng, YU Wenbo, ZHU Xinyan, ZHOU Suhong. Public Epidemic Prevention and Control Services Based on Big Data of Spatiotemporal Location Make Cities more Smart[J]. Geomatics and Information Science of Wuhan University, 2020, 45(4): 475-487, 556. DOI: 10.13203/j.whugis20200145
Citation: LI Deren, SHAO Zhenfeng, YU Wenbo, ZHU Xinyan, ZHOU Suhong. Public Epidemic Prevention and Control Services Based on Big Data of Spatiotemporal Location Make Cities more Smart[J]. Geomatics and Information Science of Wuhan University, 2020, 45(4): 475-487, 556. DOI: 10.13203/j.whugis20200145

Public Epidemic Prevention and Control Services Based on Big Data of Spatiotemporal Location Make Cities more Smart

  • Smart cities cannot be separated from spatiotemporal location big data. This paper summarizes the needs of spatiotemporal location big data for public epidemic events at home and abroad, investigates the specific services that current spatiotemporal location big data can provide in public epidemic events, and discusses the current stage of spatiotemporal location big data services that cannot meet the requirements of public epidemic events. This paper also focuses on how to improve the spatiotemporal location big data services in the next stage to better serve the public epidemic prevention and control, and gives advice on spatio-temporal location service construction at ordinary times and data sharing mechanism in "wartime". This paper aims to take scientific measures to improve the spatiotemporal big data services, strives to establish a technical support system for public epidemic prevention and control at ordinary times, and introduces a "wartime" spatiotemporal location big data sharing mechanism for epidemic prevention and control.
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