Research Article | OPEN ACCESS
Epidemic Oscillations in a Meta-Population Model
1, 2Dong Hu, 3Zhicheng Lei and 1Ping Li
1Center for Networked System, College of Computer Science
2State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
3Department of Information Science and Engineering, Zhongshan Torch Polytechnic,
Zhongshan 528436, China
Research Journal of Applied Sciences, Engineering and Technology 2013 20:4936-4941
Received: September 30, 2012 | Accepted: December 13, 2012 | Published: May 15, 2013
Abstract
The individual mobility and the underlying spatial structure of populations play an important role in epidemic spreading processes. In this study, effects of these two factors on epidemic dynamics in metapopulation systems are investigated by using a discrete Susceptible-Infective-Recovered-Susceptible (SIRS) model. Our extensive numerical Monte Carlo simulations show that both irregular and regular oscillations can be observed, depending on the life cycles of epidemic diseases. Furthermore, the amplitudes of regular oscillations are enlarged by decreasing the move cycle. It is also found that heterogeneous connectivity patterns among subpopulations result in a global infection under fast movement, compared to homogeneous connectivity patterns.
Keywords:
Epidemic, metapopulation, oscillation, SIRS model,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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