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