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Modeling the dynamics of epidemic spreading on homogenousand heterogeneous networks
Yao Hu 1,Lequan Min 2,Yang Kuang 3
1. School of Mathematics and Physics,
2.School of Automation and Electrical Engineering
3.Department of Mathematics, King Abdulaziz University
*Correspondence author
#Submitted by
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Funding: none
Opened online: 9 January 2014
Accepted by: none
Citation: Yao Hu,Lequan Min,Yang Kuang.Modeling the dynamics of epidemic spreading on homogenousand heterogeneous networks[OL]. [ 9 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4580447
 
 
This paper proposes two modifiedsusceptible-infected-recovered-susceptible (SIRS) models onhomogenous and heterogeneous networks, respectively. In the study ofthe homogenous network model, it is proved that if the basicreproduction number $R_0$ of the model is less than one, then thedisease-free equilibrium is locally asymptotically stable andbecomes globally asymptotically stable under the condition that thethreshold value $R_1$ is less than one. Otherwise, if $R_0$ is morethan one, the endemic equilibrium is locally asymptotically stableand becomes globally asymptotically stable under the assume that thetotal population $N $ will tend to a specific plane. In the study ofthe heterogeneous network model, this paper discusses the existencesof the disease-free equilibrium and endemic equilibrium of themodel. It is proved that if the threshold value $ ilde{R}_0$ isless than one, then the disease-free equilibrium is globallyasymptotically stable. Otherwise, if $ ilde{R}_0$ is more than one,the system is permanent. A series of numerical experiments are givento illustrate the theoretical results. We also numerically predictthe effect of vaccination ratio on the size of HBV infected mainlandChinese population.
Keywords:SIRS model; homogenous network; heterogeneous network; local stability; globalstability
 
 
 

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