复杂网络视角下突发性公共卫生危机管理被引量：9

A Study on Sudden Public Health Crisis Management From the Perspective of Complex Networks

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摘要本文从复杂网络的视角重新审视了突发性公共卫生事件的危机管理。研究结果表明,复杂网络的小世界特性和无标度特性为突发性公共卫生危机的传播带来了新的挑战,在突发性公共卫生危机的传播过程中,采用切断超级传播者、隔离、免疫、信息公开与反馈等措施可以收到不同程度的危机预防和控制效果。本文结合传统的"预防-处理-善后"三阶段危机管理体系,提出了复杂网络视角下的突发性公共卫生危机管理政策建议。 This paper re-examines the crisis management of sudden public health incidents from the perspective of complex networks. The results show the small-world characteristics and scale-free properties of complex networks have brought new challenges to sudden public health crisis spreading. By cutting off the super-spreaders, isolation, immunization, information disclosure and feedback and other measures can receive different levels of crisis preven- tion and control effect. Combined with the traditional ＂prevention-treatment-Rehabilitation＂ three stages systems, some policy recommendations for sudden public health crisis management are proposed from the perspective of complex networks based on the above conclusions.

作者孙翎迟嘉昱

机构地区中山大学岭南学院中山大学管理学院

出处《经济管理》 CSSCI 北大核心 2010年第1期157-163,共7页 Business and Management Journal ( BMJ )

基金国家自然科学基金资助项目"高科技产品R&D项目过程风险测度与控制模型研究"(70902025) 2009全国研究生暑期学校"公共管理与复杂性科学"(批准项目号:s-0948)

关键词危机管理复杂网络公共卫生公共政策 crisis management complex networks public health public policy

分类号 F121 [经济管理—世界经济]

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参考文献19

1Amaral L A N,Scala A, Barthelemy M etc. Classes of Small-world Networks [ C ]. Proceedings of the National Academy of Sciences ,2000.
2Barabdsi A L, Albert R. Emergence of Scaling in Random Networks [ J]. Science, 1999, (5439).
3Barabasi A L, Albert R,Jeong H. Mean-field Theory for Scale-free Random Networks [ J ]. Physica A, 1999, (1 -2).
4Garetto M, Gong Weibo,Towsley D. Modeling Malware Spreading Dynamics [ J ]. IEEE Infocom,2003, (4).
5Klijn. Analyzing and Managing Policy Processes in Complex Networks:a Theoretical Examination of the Concept Policy Network and Its Problem [ J ]. Administration&Society, 1996, ( 1 ).
6Newman M. E. The Structure and Function of Complex Networks [J].SIAM Review,2003, (45).
7Newman M. E. Scientific Collaboration Networks. I. Network Construction and Fundamental Results [J]. Physical Review E, 2001, (64).
8Sloot PMA,Ivanov SV, Boukhanovsky AV etc. Stochastic Simulation of HIV Population Dynamics through Complex Network Modeling [ J ]. International Journal of Computer Mathematics ,2008, ( 8 ).
9Vazquez A, Pastor-Satorras R, Vespignani A. Large-scale Topological and Dynamical Properties of the Internet [ J ]. Phys. Rev. E, 2002, ( 6 ).
10Wang C,Knight J C,Elder M C. On Computer Viral Infection and the Effect of Immunization [ C]. Proceedings of the 16th Annual Computer Security Applications Conference. Washington DC, USA : IEEE Computer Society,2000.

二级参考文献142

1..Webpage of Ministry of Health PRC〔中国国家卫生部网站〕:http:／／www.moh.gov.cn／zhgl／yqfb／.,.
2.《每日新增确证感染病例态势图》.中国医学生物信息网,.
3余逊达陈剩勇张国清.《浙大三教授谈抗击非典的启示和契机》[J].《反腐败导刊》,2003,:46-46.
4余逊达陈剩勇张国清.《浙大教授三人谈抗击非典的启示和契机》[J].《反腐败导刊》,2003,:46-46.
5.《中华人民共和国传染病防治法》(1989年9月1日实施)，第四条，第三十九条[Z].,..
6李煦刘江.《北京非典疫情上升趋势已得到有效扼制》.新华网,2003年5月2日.
7高强.《中国政府在控制非典疫情方面采取八项措施》.中国新闻网,2003年5月30日.
8.[N].《浙江日报》、《杭州日报》和《钱江晚报》等,2003年4月21日~4月25日.
9D罗伯特·希斯.《危机管理》[M].,.第18页.
10[1]Albert R.and Barabási A.L.Statistical mechanics of complex networks.Rev.Mod.Phys.,2002,74:47-97.