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{"references": ["Franciszek Rakowski, Magdalena Gruziel, .ukasz Bieniasz-Krzywiec, Jan\nP. Radomski, \"Influenza epidemic spread simulation for Poland - a large\nscale, individual based model study\", Physica A, vol. 389, pp.3149-3165,\n2010.", "Tim Lant, Megan Jehn., Cody Christensen, Ozgur M. Araz, John W.\nFowler. \"Simulating pandemic influenza preparedness plans for a public\nuniversity: a hierarchical system dynamics approach\". Winter Simulation\nConference, Proceedings of the 2008 Winter, pp.1305-1313, 2008", "W. O. Kermack, A. G. M. , \"A contribution to the Mathematical Theory of\nEpidemics\", Proceedings of the Royal Society, Vol. 115, pp.700-721,\n1927.", "Ahmet Y\u2500\u2592ld\u2500\u2592r\u2500\u2592m and Yves Cherruault, \"Analytical approximate\nsolution of a SIR epidemic model with constant vaccination strategy by\nhomotopy perturbation method\", Kybernetes, Vol. 38, No. 9,\npp.1566-1575, 2009", "B. Dybiec, \"SIR model of epidemic spread with accumulated exposure\",\nThe European Physical Journal B, Vol. 67, pp. 377-383, 2009", "Gul Zaman, Yong Han Kang, and Il Hyo Jung, \"Optimal treatment of an\nSIR epidemic model with time delay\", BioSystems, Vol. 98, pp.43-50,\n2009.", "Xinzhu Meng, Lansun Chen, Bo Wu, \"A delay SIR epidemic model with\npulse vaccination and incubation Times\", Nonlinear Analysis: Real\nWorld Applications, Vol. 11, pp.88-98, 2010.", "Xinzhu Meng, Lansun Chen, \"The dynamics of a new SIR epidemic\nmodel concerning pulse vaccination strategy\", Journal of Mathematical\nAnalysis and Applications, Vol. 372, pp. 162-180, 2008", "Xia Wang, Youde Tao, Xinyu Song, \"Pulse vaccination on SEIR\nepidemic model with nonlinear incidence rate\", Applied Mathematics\nand Computation, Vol. 210, pp.398- 404, 2009\n[10] S. C. Chen, C. F. Chang, L. J. Jou and C. M. Liao, \"Modelling vaccination\nprogrammes against measles in Taiwan \", Epidemiology and infection,\nVol. 135, No. 5, pp.775-786, 2007\n[11] Phenyo E. Lekone and B\u251c\u00f1rbel F. Finkenst\u251c\u00f1dt, \"Statistical Inference in a\nStochastic Epidemic SEIR Model and with Control Intervention: Ebola as\na Case Study\", Biometrics, Vol. 62, pp. 1170-1177,2006\n[12] S.B Hsu and Y.H. Hsieh, \"On the role of asymptomatic infection in\ntransmission dynamics of infectious diseases\", Bulletin of Mathematical\nBiology, Vol. 70, No. 1, pp. 134-155, 2008"]}
In recent years, several severe large-scale influenza outbreaks happened in many countries, such as SARS in 2005 or H1N1 in 2009. Those influenza Epidemics have greatly impacts not only on people-s life and health, but medical systems in different countries. Although severe diseases are more experienced, they are not fully controlled. Governments have different policies to control the spreads of diseases. However, those policies have both positive and negative social or economical influence on people and society. Therefore, it is necessary and essential to develop an appropriate model for evaluations of policies. Consequently, a proper measure can be implemented to confront the diseases. The main goal of this study is to develop a SIR-based model for the further evaluations of the candidate policies during the influenza outbreaks.
H1N1, SIR, influenza, systems dynamic model
H1N1, SIR, influenza, systems dynamic model
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