Modeling and Analysis of Epidemic Diffusion within Small-World Network

Joint Authors

Liu, Ming
Xiao, Yihong

Source

Journal of Applied Mathematics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-06-25

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

To depict the rule of epidemic diffusion, two different models, the Susceptible-Exposure-Infected-Recovered-Susceptible (SEIRS) model and the Susceptible-Exposure-Infected-Quarantine-Recovered-Susceptible (SEIQRS) model, are proposed and analyzed within small-world network in this paper.

Firstly, the epidemic diffusion models are constructed with mean-filed theory, and condition for the occurrence of disease diffusion is explored.

Then, the existence and global stability of the disease-free equilibrium and the endemic equilibrium for these two complex epidemic systems are proved by differential equations knowledge and Routh-Hurwiz theory.

At last, a numerical example which includes key parameters analysis and critical topic discussion is presented to test how well the proposed two models may be applied in practice.

These works may provide some guidelines for decision makers when coping with epidemic diffusion controlling problems.

American Psychological Association (APA)

Liu, Ming& Xiao, Yihong. 2012. Modeling and Analysis of Epidemic Diffusion within Small-World Network. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-993752

Modern Language Association (MLA)

Liu, Ming& Xiao, Yihong. Modeling and Analysis of Epidemic Diffusion within Small-World Network. Journal of Applied Mathematics No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-993752

American Medical Association (AMA)

Liu, Ming& Xiao, Yihong. Modeling and Analysis of Epidemic Diffusion within Small-World Network. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-993752

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-993752