Back
 MNSMS  Vol.3 No.4 , October 2013
A Kind of Improved Susceptible-Infected Model
Abstract: By analyzing the susceptible-infected model, susceptible-infected-recovered-susceptible model and susceptible infected-recovered model, we get the improved Kermachk-Mckendrick model. And by applying the controlled threshold value, we get the conditions of isolated rate for infectious disease eventually disappeared. 
Cite this paper: Q. Zhu, M. Liu, Q. Yu and Z. Wang, "A Kind of Improved Susceptible-Infected Model," Modeling and Numerical Simulation of Material Science, Vol. 3 No. 4, 2013, pp. 114-116. doi: 10.4236/mnsms.2013.34015.
References

[1]   Y. X. Zhang, “Medical Statistics and Forecast,” China Science and Technology Press, Beijing, 1995.

[2]   L. Yu, H. F. Xue and G. Li, “Research of Infectious Disease Transmission Model,” Computer Simulation, Vol. 24, No. 4, 2007, pp. 57-60.

[3]   B. G. Wang, B. Qu and H. Q. Guo, “Mathematical Model of Infectious Disease Prediction,” Chinese Journal of Health Statistics, Vol. 24, No. 5, 2007, pp. 536-540.

[4]   F. Chen, X. T. Wang and H. X. Zhu, “Mixed Index Cycle Model and Its Application in Seasonal Disease Analysis,” Journal of Nantong Medical College, Vol. 16, No. 3, 1996, pp. 301-303.

[5]   W. H. Hu, “Grey Model Simulation of Four Types of Infectious Disease Incidence and Prediction in Chang sha,” Practical Prediction Method, Vol. 14, No. 4, 2007, pp. 1097-1100.

[6]   C. H. Fu and G. S. Deng, “The Application of the Markov Chain in Forecasting,” Journal of Shenyang Normal University (Natural Science Edition), Vol. 1, 2009, pp. 28-31.

[7]   X. Y. Zhao, “Infectious Diseases of Self-Organizing Neural Network Prediction Research,” Journal of Mathematical Medicine, Vol. 23, No. 4, 2012, pp. 379-383.

 
 
Top