Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

doi:10.1088/1674-1056/ad39c7

中国物理B ›› 2024, Vol. 33 ›› Issue (7): 70206-070206.doi: 10.1088/1674-1056/ad39c7

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

收稿日期:2023-12-04 修回日期:2024-03-05 接受日期:2024-04-03 出版日期:2024-06-18 发布日期:2024-06-18
通讯作者: Yibo Wang E-mail:yibowong@qq.com
基金资助:
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).

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

Received:2023-12-04 Revised:2024-03-05 Accepted:2024-04-03 Online:2024-06-18 Published:2024-06-18
Contact: Yibo Wang E-mail:yibowong@qq.com
Supported by:
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).

摘要/Abstract

摘要： 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.

关键词: propagation dynamics, complex networks, public health events, community structure

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.

Key words: propagation dynamics, complex networks, public health events, community structure

中图分类号: (Computational techniques; simulations)

02.70.-c

02.60.-x (Numerical approximation and analysis)

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[J]. 中国物理B, 2024, 33(7): 70206-070206.

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Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

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