{"title":"信息传播和资源分配对流行病空间传播的综合影响","authors":"","doi":"10.1016/j.apm.2024.115672","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004256/pdfft?md5=483988505c3162ecce44423371ced818&pid=1-s2.0-S0307904X24004256-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic\",\"authors\":\"\",\"doi\":\"10.1016/j.apm.2024.115672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":50980,\"journal\":{\"name\":\"Applied Mathematical Modelling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0307904X24004256/pdfft?md5=483988505c3162ecce44423371ced818&pid=1-s2.0-S0307904X24004256-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematical Modelling\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0307904X24004256\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X24004256","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic
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.
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.
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