Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics
We investigate the effects of self-protection awareness on the spread of disease from the aspect of resource allocation behavior in populations. To this end, a resource-based epidemiological model and a self-awareness-based resource allocation model in complex networks are proposed, respectively. Fi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8861493 |
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| author | Xiaolong Chen Ruijie Wang Dan Yang Jiajun Xian Qing Li |
| author_facet | Xiaolong Chen Ruijie Wang Dan Yang Jiajun Xian Qing Li |
| author_sort | Xiaolong Chen |
| collection | DOAJ |
| description | We investigate the effects of self-protection awareness on the spread of disease from the aspect of resource allocation behavior in populations. To this end, a resource-based epidemiological model and a self-awareness-based resource allocation model in complex networks are proposed, respectively. First of all, we study the coupled disease-awareness dynamics in complex networks with fixed degree heterogeneity. Through extensive Monte Carlo simulations, we find that overall the self-awareness inhibits the spread of disease. More importantly, the influence of the self-awareness on the spreading dynamics can be divided into three phases. In phase I, the self-awareness is relatively small and the outbreak of the epidemic can not be suppressed effectively. While, in phase II, the epidemic size is significantly reduced. Finally, in phase III, there is a sufficiently large value of self-awareness, the disease cannot outbreak anymore. Further, we study the impact of degree heterogeneity on the coupled disease-awareness dynamics and find that the network heterogeneity plays the role of “double-edged sword” in that it can either suppress or promote the epidemic spreading. Specifically, when the basic infection rate is relatively small, it promotes the spread of disease under the condition that there is a relatively small self-awareness. While, when the basic infection rate is relatively large, it inhibits the outbreak of epidemic at a relatively small self-awareness; in turn, it promotes the outbreak of epidemic at a relatively large self-awareness. |
| format | Article |
| id | doaj-art-99540e4c8a1c4b59b488cda71cc32abc |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-99540e4c8a1c4b59b488cda71cc32abc2025-02-03T01:27:57ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88614938861493Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic DynamicsXiaolong Chen0Ruijie Wang1Dan Yang2Jiajun Xian3Qing Li4School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, ChinaAba Teachers University, Aba 623002, ChinaDepartment of Computer Science, School of Engineering, Shantou University, Shantou 515063, ChinaDepartment of Computer Science, School of Engineering, Shantou University, Shantou 515063, ChinaSchool of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, ChinaWe investigate the effects of self-protection awareness on the spread of disease from the aspect of resource allocation behavior in populations. To this end, a resource-based epidemiological model and a self-awareness-based resource allocation model in complex networks are proposed, respectively. First of all, we study the coupled disease-awareness dynamics in complex networks with fixed degree heterogeneity. Through extensive Monte Carlo simulations, we find that overall the self-awareness inhibits the spread of disease. More importantly, the influence of the self-awareness on the spreading dynamics can be divided into three phases. In phase I, the self-awareness is relatively small and the outbreak of the epidemic can not be suppressed effectively. While, in phase II, the epidemic size is significantly reduced. Finally, in phase III, there is a sufficiently large value of self-awareness, the disease cannot outbreak anymore. Further, we study the impact of degree heterogeneity on the coupled disease-awareness dynamics and find that the network heterogeneity plays the role of “double-edged sword” in that it can either suppress or promote the epidemic spreading. Specifically, when the basic infection rate is relatively small, it promotes the spread of disease under the condition that there is a relatively small self-awareness. While, when the basic infection rate is relatively large, it inhibits the outbreak of epidemic at a relatively small self-awareness; in turn, it promotes the outbreak of epidemic at a relatively large self-awareness.http://dx.doi.org/10.1155/2020/8861493 |
| spellingShingle | Xiaolong Chen Ruijie Wang Dan Yang Jiajun Xian Qing Li Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics Complexity |
| title | Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics |
| title_full | Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics |
| title_fullStr | Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics |
| title_full_unstemmed | Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics |
| title_short | Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics |
| title_sort | effects of the awareness driven individual resource allocation on the epidemic dynamics |
| url | http://dx.doi.org/10.1155/2020/8861493 |
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