Research on coupled information-behavior-resource-epidemic model in multiplex network

YU Yue, HUO Liang'an

Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (10) : 3386-3399.

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Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (10) : 3386-3399. DOI: 10.12011/SETP2023-0823

Research on coupled information-behavior-resource-epidemic model in multiplex network

  • YU Yue1, HUO Liang'an1,2
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Abstract

In the emergency management of public health emergencies, epidemic transmission and spread are often accompanied by information dissemination, behavior adoption and resource transmission. It is important to study the co-evolutionary transmission characteristics between information dissemination, behavior adoption, resource transmission and epidemic transmission and to explore their intrinsic transmission dynamics. In this paper, a four-level coupled information-behavior-resource-disease transmission model is developed to explore the influence of information, behavior and resources on disease transmission. Unlike previous studies, this paper divides resources into information resources and medical resources, where information resources influence the information transmission process and medical resources influence the disease transmission process. Then, this paper derives epidemic transmission thresholds through a micro-Markov approach. Secondly, this paper explores the role played by different influencing factors by conducting a large number of Monte Carlo simulations. The results show that both medical and information resources are important in increasing the epidemic outbreak threshold and reducing the scale of epidemic transmission, with the effect of medical resources being more obvious than that of information resources.

Key words

information dissemination / behavior adoption / epidemic transmission / information resources / medical resources

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YU Yue , HUO Liang'an. Research on coupled information-behavior-resource-epidemic model in multiplex network. Systems Engineering - Theory & Practice, 2024, 44(10): 3386-3399 https://doi.org/10.12011/SETP2023-0823

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Funding

National Natural Science Foundation of China (72174121)； Project  of Soft Science Research of Shanghai (24692116300)； Shanghai Natural Science Foundation (21ZR1444100)；Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Colleges and Universities
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