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Article: Coupled information-epidemic spreading with consideration of self-isolation in the context of mass media

TitleCoupled information-epidemic spreading with consideration of self-isolation in the context of mass media
Authors
KeywordsCoupled information-epidemic spreading
Mass media
Self-isolation behavior
Issue Date28-Dec-2024
PublisherElsevier
Citation
Physics Letters A, 2024, v. 528 How to Cite?
Abstract

Modern social media can facilitate the diffusion of epidemic-related information during pandemics, thereby enhancing individual epidemic awareness. However, current research places less emphasis on self-isolation behaviors stimulated by such awareness, which are crucial for long-term epidemic response. Thus, we propose a coupled information-epidemic spreading model that incorporates the impact of mass media and self-isolation behaviors. Using the Microscopic Markov Chain Approach, we analyze the model, determine the epidemic threshold, and investigate parameters contributing to intertwined dynamics. Experiments show that self-isolation effectively raises the epidemic threshold and reduces outbreak scope. Besides, stronger mass media diffusion enhances self-isolation's inhibitory effect on epidemic spread. There exists a meta-critical point in information diffusion impact; only when exceeding it does information diffusion increase the epidemic threshold, but mass media presence can eliminate this point. This research underscores the critical role of mass media and self-isolation in controlling epidemics, offering valuable insights for prevention strategies.


Persistent Identifierhttp://hdl.handle.net/10722/364201
ISSN
2023 Impact Factor: 2.3
2023 SCImago Journal Rankings: 0.483

 

DC FieldValueLanguage
dc.contributor.authorYang, Dan-
dc.contributor.authorChen, Kunwei-
dc.contributor.authorZhang, Wei-
dc.contributor.authorWang, Teng-
dc.contributor.authorXian, Jiajun-
dc.contributor.authorMeng, Nan-
dc.contributor.authorWang, Wei-
dc.contributor.authorLiu, Ming-
dc.contributor.authorYe, Jinlin-
dc.date.accessioned2025-10-28T00:35:07Z-
dc.date.available2025-10-28T00:35:07Z-
dc.date.issued2024-12-28-
dc.identifier.citationPhysics Letters A, 2024, v. 528-
dc.identifier.issn0375-9601-
dc.identifier.urihttp://hdl.handle.net/10722/364201-
dc.description.abstract<p>Modern social media can facilitate the diffusion of epidemic-related information during pandemics, thereby enhancing individual epidemic awareness. However, current research places less emphasis on self-isolation behaviors stimulated by such awareness, which are crucial for long-term epidemic response. Thus, we propose a coupled information-epidemic spreading model that incorporates the impact of mass media and self-isolation behaviors. Using the Microscopic Markov Chain Approach, we analyze the model, determine the epidemic threshold, and investigate parameters contributing to intertwined dynamics. Experiments show that self-isolation effectively raises the epidemic threshold and reduces outbreak scope. Besides, stronger mass media diffusion enhances self-isolation's inhibitory effect on epidemic spread. There exists a meta-critical point in information diffusion impact; only when exceeding it does information diffusion increase the epidemic threshold, but mass media presence can eliminate this point. This research underscores the critical role of mass media and self-isolation in controlling epidemics, offering valuable insights for prevention strategies.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofPhysics Letters A-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCoupled information-epidemic spreading-
dc.subjectMass media-
dc.subjectSelf-isolation behavior-
dc.titleCoupled information-epidemic spreading with consideration of self-isolation in the context of mass media-
dc.typeArticle-
dc.identifier.doi10.1016/j.physleta.2024.130016-
dc.identifier.scopuseid_2-s2.0-85208287293-
dc.identifier.volume528-
dc.identifier.eissn1873-2429-
dc.identifier.issnl0375-9601-

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