| CROSS-DISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
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Effects of Variant Rates and Noise on Epidemic Spreading |
| LI Wei1,2**, GAO Zong-Mao1, GU Jiao1,2
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1Complexity Science Center and Institute of Particle Physics, Huazhong Normal University, Wuhan 430079
2Max-Planck-Institute for Mathematics in the Sciences
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| Cite this article: |
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LI Wei, GAO Zong-Mao, GU Jiao 2011 Chin. Phys. Lett. 28 058903 |
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Abstract We introduce variant rates, for both infection and recovery and noise into the susceptible-infected-removed (SIR) model for epidemic spreading. The changing rates are taken mainly due to the changing profiles of an epidemic during its evolution. However, the noise parameter which is taken from a given distribution, i.e. Gaussian can describe the fluctuations of the infection and recovery rates. The numerical simulations show that the SIR model with variant rates and noise and can improve the fitting with real SARS data in the near-stationary stage.
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| Keywords:
89.75.-k
89.65.-s
87.10.Mn
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Received: 28 September 2010
Published: 26 April 2011
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