Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic

IF 4.4 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Applied Mathematical Modelling Pub Date : 2024-09-04 DOI:10.1016/j.apm.2024.115672

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引用次数: 0

Abstract

Information dissemination driven by the epidemic may intensify individuals' awareness to change their behavior, as we observe that aware ones often pursue more resources to resist the epidemic. Particularly, the co-effects of herd awareness to individuals and resource allocation between locations on the spatial spreading of the epidemic has not further uncovered. Therefore, to deeply investigate the co-effects of herd awareness and resource allocation on the spatial spreading of the epidemic, a three-layer metapopulation networks model is proposed to characterize the complex interplay among information diffusion, resource allocation, and epidemic spreading. The results indicate enhancing self-awareness apparently promotes the information dissemination and validly suppresses the epidemic spreading. Intensifying herd awareness can remarkably suppress the epidemic spreading. Besides, pursuing resources excessively has few impacts on curbing the epidemic when individuals suffer from panics, and reducing the infection rate of susceptible individuals via investing resources can properly reduce the final infection scale.

查看原文本刊更多论文

信息传播和资源分配对流行病空间传播的综合影响

疫情引发的信息传播可能会强化个体的意识，从而改变其行为，因为我们观察到，意识到这一点的个体往往会寻求更多的资源来抵御疫情。特别是，对个体的群体意识和地点间的资源分配对疫情空间传播的共同影响还没有进一步揭示。因此，为了深入研究群体意识和资源配置对疫情空间传播的共同影响，本文提出了一个三层元种群网络模型，以描述信息扩散、资源配置和疫情传播之间复杂的相互作用。结果表明，增强自我意识明显促进了信息传播，并有效抑制了疫情扩散。强化群体意识可以显著抑制流行病的传播。此外，当个体出现恐慌时，过度追求资源对抑制疫情的影响不大，而通过投入资源降低易感个体的感染率可以适当降低最终的感染规模。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Mathematical Modelling 数学-工程：综合

CiteScore

9.80

自引率

8.00%

发文量

508

审稿时长

43 days

期刊介绍： Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.