A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks
In this paper, we propose a nonlinear coupled model to study the two interacting processes of awareness diffusion and epidemic spreading on the same individual who is affected by different neighbor behavior status on multiplex networks. We achieve this topology scenario by two kinds of factors, one...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6680135 |
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| _version_ | 1832566164331429888 |
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| author | Chao Zuo Anjing Wang Fenping Zhu Zeyang Meng Xueke Zhao |
| author_facet | Chao Zuo Anjing Wang Fenping Zhu Zeyang Meng Xueke Zhao |
| author_sort | Chao Zuo |
| collection | DOAJ |
| description | In this paper, we propose a nonlinear coupled model to study the two interacting processes of awareness diffusion and epidemic spreading on the same individual who is affected by different neighbor behavior status on multiplex networks. We achieve this topology scenario by two kinds of factors, one is the perception factor that can change interplay between different layers of networks and the other is the neighbors’ behavior status that can change the infection rate in each layer. According to the microscopic Markov chain approach (MMCA), we analyze the dynamical evolution of the system and derive the theoretical epidemic threshold on uncorrelated heterogeneous networks, and then, we validate the analysis by numerical simulation and discuss the final size of awareness diffusion and epidemic spreading on a scale-free network. With the outbreak of COVID-19, the spread of epidemic in China prompted drastic measures for transmission containment. We examine the effects of these interventions based on modeling of the awareness-epidemic and the COVID-19 epidemic case. The results further demonstrate that the epidemic spreading can be affected by the effective transmission rate of the awareness and neighbors’ behavior status. |
| format | Article |
| id | doaj-art-d58bc0cc7a7e483daf7ad17bd33e46b5 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-d58bc0cc7a7e483daf7ad17bd33e46b52025-02-03T01:05:04ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66801356680135A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex NetworksChao Zuo0Anjing Wang1Fenping Zhu2Zeyang Meng3Xueke Zhao4School of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, ChinaIn this paper, we propose a nonlinear coupled model to study the two interacting processes of awareness diffusion and epidemic spreading on the same individual who is affected by different neighbor behavior status on multiplex networks. We achieve this topology scenario by two kinds of factors, one is the perception factor that can change interplay between different layers of networks and the other is the neighbors’ behavior status that can change the infection rate in each layer. According to the microscopic Markov chain approach (MMCA), we analyze the dynamical evolution of the system and derive the theoretical epidemic threshold on uncorrelated heterogeneous networks, and then, we validate the analysis by numerical simulation and discuss the final size of awareness diffusion and epidemic spreading on a scale-free network. With the outbreak of COVID-19, the spread of epidemic in China prompted drastic measures for transmission containment. We examine the effects of these interventions based on modeling of the awareness-epidemic and the COVID-19 epidemic case. The results further demonstrate that the epidemic spreading can be affected by the effective transmission rate of the awareness and neighbors’ behavior status.http://dx.doi.org/10.1155/2021/6680135 |
| spellingShingle | Chao Zuo Anjing Wang Fenping Zhu Zeyang Meng Xueke Zhao A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks Complexity |
| title | A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks |
| title_full | A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks |
| title_fullStr | A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks |
| title_full_unstemmed | A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks |
| title_short | A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks |
| title_sort | new coupled awareness epidemic spreading model with neighbor behavior on multiplex networks |
| url | http://dx.doi.org/10.1155/2021/6680135 |
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