COVID-19 Risk Analysis Based on Population Migration Big Data: A Case Study of Wuhan
Authors: 
Xuepu Zhang, Xin LiuAuthors Info & Claims
Xuepu Zhang, Xin LiuAuthors Info & ClaimsPages 940 - 946
Abstract
Population movement between regions is one of the main ways for the spread of COVID-19. The Chinese government has adopted unprecedented population movement controls to restrain the spread of COVID-19. With the development of information society, the development of GPS, Location Based Services(LBS) and other technologies has provided technical support for individual spatial movement tracking. This article uses the SEIR propagation dynamics model to assess the efficiency of control measures, and uses mobile data to monitor the spatiotemporal changes in China's population movement: China's population mobility control measures have enabled the number of COVID-19 infections to be controlled nationwide. In the eleven selected cities, the number of confirmed cases caused by not taking control measures increased to 1.34 times - 2.32 times compared with taking measures. For the whole country, if there is no population movement control and no other epidemic prevention measures, the national epidemic risk will increase by about two times. If no measures are taken, the epidemic risk of cities at all levels across the country will continue to increase. This article helps to understand the effectiveness of government population mobility control strategies under major public health emergencies.
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Published In
November 2023
1156 pages
ISBN:9798400716478
DOI:10.1145/3656766
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 01 June 2024
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ICBAR 2023
ICBAR 2023: 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
November 24 - 26, 2023
Chengdu, China
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