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基于互信网络的艾滋病吸毒传播仿真模型 被引量:1

Simulation Model for Spreading of AIDS among Drug Users in Mutual Trust Networks
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摘要 提出一种根据个体的社会属性建立友谊网络,根据友谊网络形成互信网络,根据社会属性和互信关系建立吸毒和共用针具行为规则的艾滋病传播仿真模型。实验结果表明,个体的属性、位置和行为以及网络结构均显著影响传播过程,但特点有所不同。社会底层的低学历青年男性是艾滋病传播的高危群体,加强对社会关系广泛、扮演中介角色的经常共用针具吸毒者的监管,是控制吸毒传播艾滋病的关键。必须同时控制多种传播途径,才能有效抑制艾滋病的蔓延。 A simulation model of the spread of AIDS was proposed.In which,a friendship network and a mutual trust network were respectively constructed according to the social attributes of individuals and the friendship network,and the drug-taking and needle-sharing behavior rules of individuals were constructed according to their social attributes and mutual trust relationships.The experiment results show that the individuals’ attributes,locations and behaviors,as well as the network structure have significant impacts on the propagation process of AIDS,but the characteristics of these impacts are different to each other.The young men with low income and poor education background are the high-risk group of the spread of AIDS.Enhancing the supervision on those drug users who have extensive social connections,play the important role of intermediary of groups,and often share needle with others is the key to control the spread of AIDS among drug users.The spread of AIDS can be effectively restrained once the controls of all transmission routes are simultaneous.
出处 《系统仿真学报》 CAS CSCD 北大核心 2013年第6期1279-1284,共6页 Journal of System Simulation
基金 教育部人文与社会科学研究基金项目(09YJAZH072) 西北工业大学2013年度研究生创业种子基金项目(Z2013170) 西北工业大学2012年度研究生创业种子基金项目(Z2012169)
关键词 艾滋病传播 静脉吸毒 互信关系 人际网络 spread of AIDS intravenous drug mutual trust relationship social network
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  • 1Kretzschmar M, Morris M. Measures of Concurrency in Networks and the Spread of Infectious Disease [J]. Mathematical Biosciences (S0025-5564), 1996, 133(2): 165-195.
  • 2Teweldemedhin Eyob, Tshilidzi Marwala, Conrad Mueller. Agent- Based Modelling: A case study in HIV Epidemic [C]// IEEE Proceedings of the 4th International Conference on Hybrid Intelligent Systems, 2004. USA: IEEE, 2004: 154-159.
  • 3Dye C, Gay N. Epidemiology: Modeling the SARS epidemic [J]. Science (S0036-8075), 2003, 300(5627): 1884-1885.
  • 4Yang Huijie, Zhao Fangcui, Li Zhongnan, et al. Modeling SARS Spreading on Complex Networks [J]. International journal of Modem Pysics B (S0217-9792), 2004, 18(17): 2734-2739.
  • 5Bai Wen-jie, Zhou Tao, Wang Bing-hong. Interplay between HIV/AIDS Epidemics and Demographic Structures Based on Sexual Contact Networks [J]. International Journal of Modem Physics C (S0129-1831), 2007, 18(6): 1025-1045.
  • 6Sloot P, Ivanov S. Stochastic simulation of HIV population dynamics through complex network modeling [J]. International Journal of Computer Mathematics (S0020-7160), 2007, 85(8): 1175-1187.
  • 7Lynne Hamill, Nigel Gilbert. Social Circles: A Simple Structure for Agent-Based Social Network Models [J/OL]. Journal of Artificial Societies and Social Simulation (S1460-7425), 2009, 12(23): 3. <http://jasss.soc.surrey.ac.uk/12/2/3.html>.
  • 8Anderson R M, Medley G. Epidemiology of HIV infection and AIDS: incubation and infectious periods [J]. Survival and vertical transmission, AIDS (S0956-4624), 1988, 2 suppl 1: S57-63.
  • 9Medley G F, Anderson R M, Cox D R, et al. Incubation period of AIDS in patients infected via blood transfusion [J]. Nature (S0028-0836), 1987, 328(6132): 719-721.
  • 10Rothenberg R, Woelfel M, Stoneburner R, et al. Survival with the acquired immunodeficiency syndrome, Experience with 5833 cases in New York City [J]. New England Journal of Medicine: (S0028-4793), 1987, 317(21): 1297-1302.

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