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Modeling of epidemic spreading with white Gaussian noise

✍ Scribed by Jiao Gu; ZongMao Gao; Wei Li

Book ID
107372779
Publisher
Springer
Year
2011
Tongue
English
Weight
826 KB
Volume
56
Category
Article
ISSN
1001-6538

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✦ Synopsis

Motivated by the need to include the different characteristics of individuals and the damping effect in predictions of epidemic spreading, we build a model with variant coefficients and white Gaussian noise based on the traditional SIR model. The analytic and simulation results predicted by the model are presented and discussed. The simulations show that using the variant coefficients results in a higher percentage of susceptible individuals and a lower percentage of removed individuals. When the noise is included in the model, the percentage of infected individuals has a wider peak and more fluctuations than that predicted using the traditional SIR model.

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