首页|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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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 execu-tors 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.

propagation dynamicscomplex networkspublic health eventscommunity structure

杨鹏、范如国、王奕博、张应青

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School of Economics and Management,Wuhan University,Wuhan 430072,China

Postdoctoral Research Station,China International Engineering Consulting Corporation,Beijing 100000,China

School of Business Administration,Guizhou University of Finance and Economics,Guiyang 550025,China

Ministry of Education of China in the later stage of philosophy and social science researchNational Natural Science Foundation of ChinaMajor Program of National Social Science Fund of ChinaGuizhou Provincial Science and Technology Projects

19JHG0917206100320&ZD155[2020]4Y172

2024

10.1088/1674-1056/ad39c7

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(7)
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