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[1]赵敬,等.考虑个体移动和局域控制的SIR传染模型[J].智能系统学报,2011,6(6):515-519.
　ZHAO Jing,FANG Yi,XIA Chengyi.A susceptibleinfectedremoved model consideringindividual mobility and local control[J].CAAI Transactions on Intelligent Systems,2011,6(6):515-519.

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考虑个体移动和局域控制的SIR传染模型

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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 6 期数: 2011年第6期页码: 515-519 栏目: 学术论文—人工智能基础出版日期: 2011-12-25

Title:: A susceptibleinfectedremoved model consideringindividual mobility and local control

文章编号:: 1673-4785(2011)06-0515-05

作者:: 赵敬 ^{1, 2}，方义 ^{1, 2}，夏承遗 ^{1, 2}; 1. 天津理工大学天津市智能计算与软件新技术重点实验室，天津 300384；
2.天津理工大学教育部计算机视觉与系统重点实验室，天津 300384

Author(s):: ZHAO Jing^1,2, FANG Yi ^1,2, XIA Chengyi ^1,2; 1.Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology, Tianjin University of Technology,Tianjin 300384, China;
2. Key Laboratory of Computer Vision and Systems (Ministry of Education), Tianjin University of Technology, Tianjin 300384, China

关键词:: 个体移动; SIR模型; 感染半径; 控制半径

Keywords:: individual motion; SIR model; infection radius; control radius

分类号:: TP18；O231.5

文献标志码:: A

摘要:: 为了能够有效地对疾病传播进行建模和分析，提出了带有个体移动性的考虑局部感染程度和局部控制程度的SIR模型,引入了感染半径和控制半径的概念.在二维平面空间的基础上，首先介绍了带有个体运动的模型，然后将此模型与改进的SIR模型结合，通过大量的数值仿真分析感染半径和控制半径对疾病传播的影响；同时，还利用数值仿真研究了移动个体密度和个体运动方向对疾病传播的影响；此外，基于改进的SIR模型提出了一些能够抑制疾病传播的直观控制策略，如对感染个体进行隔离、控制以及对人群进行疏散等.

Abstract:: In order to effectively analyze and model the spread of infectious diseases, this paper proposed a novel SusceptibleInfectedRemoved (SIR) model considering mobile individuals and local control in which the concept of the infection radius and control radius were introduced. Based on the twodimensional space, the individual motion model and improved SIR model were considered first, and then largescale numerical simulation was used to explore the influence of the infection radius and control radius on the behavior of disease propagation. At the same time, the paper also investigated the impact of population density and the direction of mobile agents in relation to the spread of disease. Furthermore, some intuitive control strategies were presented to inhibit the diffusion of epidemics on the basis of the proposed novel SIR model; for instance, separating and controlling the infective individual and evacuating highdensity populations.

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相似文献/References:: [1]赵敬,夏承遗,孙世温,等.复杂网络上同时考虑感染延迟和非均匀传播的SIR模型[J].智能系统学报,2013,8(2):128.[doi:10.3969/j.issn.1673-4785.201210027]
　ZHAO Jing,XIA Chengyi,SUN Shiwen,et al.A novel SIR model with infection delay and nonuniform transmission in complex networks[J].CAAI Transactions on Intelligent Systems,2013,8():128.[doi:10.3969/j.issn.1673-4785.201210027]

备注/Memo

收稿日期： 2011-09-01.
基金项目：国家自然科学基金资助项目（60904063）；天津市应用基础及前沿技术研究计划资助项目（11JCYBJC06600）；天津市高等学校科技发展基金资助项目（20090813）；国家大学生创新实验计划资助项目（101006019）. 
通信作者：夏承遗.E-mail:xialooking@163.com.
作者简介：
赵敬，女，1986年生，硕士研究生，主要研究方向为复杂网络病毒传播.
方义，男，1988年生，硕士研究生，主要研究方向为复杂网络病毒传播.
夏承遗，男，1976生，副教授，博士，主要研究方向为复杂系统与复杂网络建模分析、传播动力学等.目前主持国家自然科学基金1项，省部级科研项目1项，其他科技计划项目1项.获天津市科技进步三等奖1项，发表学术论文近20篇，其中被SCI检索7篇.

更新日期/Last Update: 2012-02-29

考虑个体移动和局域控制的SIR传染模型 PDF下载HTML

备注/Memo

考虑个体移动和局域控制的SIR传染模型

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