A New SIR-based Model for Influenza Epidemic
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33104
A New SIR-based Model for Influenza Epidemic

Authors: Kang-Hung Yang, Jin-Yuan Hsu

Abstract:

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.

Keywords: SIR, influenza, systems dynamic model, H1N1

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1054948

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2914

References:


[1] Franciszek Rakowski, Magdalena Gruziel, .ukasz Bieniasz-Krzywiec, Jan P. Radomski, "Influenza epidemic spread simulation for Poland - a large scale, individual based model study", Physica A, vol. 389, pp.3149-3165, 2010.
[2] Tim Lant, Megan Jehn., Cody Christensen, Ozgur M. Araz, John W. Fowler. "Simulating pandemic influenza preparedness plans for a public university: a hierarchical system dynamics approach". Winter Simulation Conference, Proceedings of the 2008 Winter, pp.1305-1313, 2008
[3] W. O. Kermack, A. G. M. , "A contribution to the Mathematical Theory of Epidemics", Proceedings of the Royal Society, Vol. 115, pp.700-721, 1927.
[4] Ahmet Y─▒ld─▒r─▒m and Yves Cherruault, "Analytical approximate solution of a SIR epidemic model with constant vaccination strategy by homotopy perturbation method", Kybernetes, Vol. 38, No. 9, pp.1566-1575, 2009
[5] B. Dybiec, "SIR model of epidemic spread with accumulated exposure", The European Physical Journal B, Vol. 67, pp. 377-383, 2009
[6] Gul Zaman, Yong Han Kang, and Il Hyo Jung, "Optimal treatment of an SIR epidemic model with time delay", BioSystems, Vol. 98, pp.43-50, 2009.
[7] Xinzhu Meng, Lansun Chen, Bo Wu, "A delay SIR epidemic model with pulse vaccination and incubation Times", Nonlinear Analysis: Real World Applications, Vol. 11, pp.88-98, 2010.
[8] Xinzhu Meng, Lansun Chen, "The dynamics of a new SIR epidemic model concerning pulse vaccination strategy", Journal of Mathematical Analysis and Applications, Vol. 372, pp. 162-180, 2008
[9] Xia Wang, Youde Tao, Xinyu Song, "Pulse vaccination on SEIR epidemic model with nonlinear incidence rate", Applied Mathematics and Computation, Vol. 210, pp.398- 404, 2009
[10] S. C. Chen, C. F. Chang, L. J. Jou and C. M. Liao, "Modelling vaccination programmes against measles in Taiwan ", Epidemiology and infection, Vol. 135, No. 5, pp.775-786, 2007
[11] Phenyo E. Lekone and Bärbel F. Finkenstädt, "Statistical Inference in a Stochastic Epidemic SEIR Model and with Control Intervention: Ebola as a Case Study", Biometrics, Vol. 62, pp. 1170-1177,2006
[12] S.B Hsu and Y.H. Hsieh, "On the role of asymptomatic infection in transmission dynamics of infectious diseases", Bulletin of Mathematical Biology, Vol. 70, No. 1, pp. 134-155, 2008