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Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks |
| Peng Yang(杨鹏)1, Ruguo Fan(范如国)1, Yibo Wang(王奕博)2,†, and Yingqing Zhang(张应青)3 |
1 School of Economics and Management, Wuhan University, Wuhan 430072, China;
2 Postdoctoral Research Station, China International Engineering Consulting Corporation, Beijing 100000, China;
3 School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China |
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Abstract We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.
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Received: 04 December 2023
Revised: 05 March 2024
Accepted manuscript online:
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PACS:
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02.70.-c
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(Computational techniques; simulations)
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02.60.-x
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(Numerical approximation and analysis)
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| Fund: Project supported by the Ministry of Education of China in the later stage of philosophy and social science research (Grant No.19JHG091),the National Natural Science Foundation of China (Grant No.72061003),the Major Program of National Social Science Fund of China (Grant No.20&ZD155),and the Guizhou Provincial Science and Technology Projects (Grant No.[2020]4Y172). |
Corresponding Authors:
Yibo Wang
E-mail: yibowong@qq.com
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Cite this article:
Peng Yang(杨鹏), Ruguo Fan(范如国), Yibo Wang(王奕博), and Yingqing Zhang(张应青) Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks 2024 Chin. Phys. B 33 070206
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