Integrated systemic inflammatory response syndrome epidemic model in scale-free networks
Based on the scale-free network, an integrated systemic inflammatory response syndrome model with artificial immunity, a feedback mechanism, crowd density and the moving activities of an individual can be built. The effects of these factors on the spreading process are investigated through the model...
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| Published in | Chinese physics B Vol. 20; no. 9; pp. 77 - 78 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
IOP Publishing
01.09.2011
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-1056 2058-3834 |
| DOI | 10.1088/1674-1056/20/9/090503 |
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| Abstract | Based on the scale-free network, an integrated systemic inflammatory response syndrome model with artificial immunity, a feedback mechanism, crowd density and the moving activities of an individual can be built. The effects of these factors on the spreading process are investigated through the model. The research results show that the artificial immunity can reduce the stable infection ratio and enhance the spreading threshold of the system. The feedback mechanism can only reduce the stable infection ratio of system, but cannot affect the spreading threshold of the system. The bigger the crowd density is, the higher the infection ratio of the system is and the smaller the spreading threshold is. In addition, the simulations show that the individual movement can enhance the stable infection ratio of the system only under the condition that the spreading rate is high, however, individual movement will reduce the stable infection ratio of the system. |
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| AbstractList | Based on the scale-free network, an integrated systemic inflammatory response syndrome model with artificial immunity, a feedback mechanism, crowd density and the moving activities of an individual can be built. The effects of these factors on the spreading process are investigated through the model. The research results show that the artificial immunity can reduce the stable infection ratio and enhance the spreading threshold of the system. The feedback mechanism can only reduce the stable infection ratio of system, but cannot affect the spreading threshold of the system. The bigger the crowd density is, the higher the infection ratio of the system is and the smaller the spreading threshold is. In addition, the simulations show that the individual movement can enhance the stable infection ratio of the system only under the condition that the spreading rate is high, however, individual movement will reduce the stable infection ratio of the system. |
| Author | 蔡绍洪 张达敏 龚光武 郭长睿 |
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| Cites_doi | 10.1126/science.286.5439.509 10.1088/0256-307X/23/5/077 10.1016/j.physa.2003.08.002 10.1103/PhysRevE.64.016131 10.1103/PhysRevLett.92.178701 10.1140/epjd/e2009-00163-0 10.1103/RevModPhys.74.47 10.1126/science.1061076 10.1038/30918 10.1209/0295-5075/86/50002 10.1063/1.3479977 10.1088/1674-1056/19/2/020203 10.1103/PhysRevE.63.066117 10.1103/PhysRevLett.86.3200 10.1103/PhysRevLett.86.2909 10.1016/j.jtbi.2005.01.011 10.1088/1674-1056/19/2/020501 10.7498/aps.59.6725 10.1038/35075138 10.1103/PhysRevE.65.035108 10.7498/aps.59.6734 10.1140/epjb/e2004-00119-8 10.1103/PhysRevE.81.061118 |
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| Notes | scale-free networks, systemic inflammatory response syndrome model, analog simulation Based on the scale-free network, an integrated systemic inflammatory response syndrome model with artificial immunity, a feedback mechanism, crowd density and the moving activities of an individual can be built. The effects of these factors on the spreading process are investigated through the model. The research results show that the artificial immunity can reduce the stable infection ratio and enhance the spreading threshold of the system. The feedback mechanism can only reduce the stable infection ratio of system, but cannot affect the spreading threshold of the system. The bigger the crowd density is, the higher the infection ratio of the system is and the smaller the spreading threshold is. In addition, the simulations show that the individual movement can enhance the stable infection ratio of the system only under the condition that the spreading rate is high, however, individual movement will reduce the stable infection ratio of the system. Cai Shao-Hong Zhang Da-MinI Gong Guang-Wu（ and Guo Chang-Rui a） School of Informatics, Guizhou College of Finance and Economics, Guiyang 550004, China b） School of Computer Science and Information, Cuizhou University, Guiyang 550025, China 11-5639/O4 |
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| References | 22 24 Wang X H (14) 2010; 19 25 Moreno Y (23) 2002; 26 Xia C Y (28) 2008; 23 Wang Y Q (26) 2010; 59 Fang J Q (9) 2007; 27 Broder A (5) 2000; 33 10 32 12 Kuperman M (18) 2001; 86 13 Lin G J (30) 2003; 35 16 17 19 Newman M E J (21) 2002; 66 Guan J Y (15) 2010; 19 Liu Z R (29) 2006; 23 1 2 3 4 6 Zhang D M (31) 2009; 2 Wu D (11) 2009; 86 Li G Z (33) 2006; 65 Wang Y Q (27) 2010; 59 20 Wu J S (7) 2004; 24 Fang J Q (8) 2007; 27 |
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| Title | Integrated systemic inflammatory response syndrome epidemic model in scale-free networks |
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