DocumentCode :
2851568
Title :
An Improved SIRS Epidemic Model on Complex Network
Author :
Han, Hua ; Ma, Aina ; Huang, Zhangcan
Author_Institution :
Coll. of Sci., Wuhan Univ. of Technol., Wuhan, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Based on the SIRS model with the direct immunization on complex network, an improved SIRS epidemic model is proposed in this paper. The proposed model is built by considering the case that infective individuals enter into the removed or susceptible state when they are cured. By using the mean-field theory, an epidemic threshold of the model is obtained focusing on the improved model. The simulated results illustrate the valid of the theory analysis. Both the theoretical analytical and simulated results indicate that whether the disease becomes the endemic disease or not is influenced by the proportion from the infective state to the susceptible state.
Keywords :
combinatorial mathematics; complex networks; epidemics; SIRS epidemic model; complex network; direct immunization; epidemic threshold; mean-field theory; Analytical models; Complex networks; Diseases; Educational institutions; Immune system; State estimation; Viruses (medical);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5365422
Filename :
5365422
Link To Document :
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