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The Hopf Bifurcation Analysis and Optimal Control of a Delayed SIR Epidemic Model
Author(s) -
Abdelhadi Abta,
Hassan Laarabi,
Hamad Talibi Alaoui
Publication year - 2014
Publication title -
international journal of analysis
Language(s) - English
Resource type - Journals
eISSN - 2314-4998
pISSN - 2314-498X
DOI - 10.1155/2014/940819
Subject(s) - hopf bifurcation , stability (learning theory) , bifurcation , mathematics , value (mathematics) , epidemic model , incidence (geometry) , algorithm , computer science , statistics , physics , demography , geometry , machine learning , nonlinear system , population , quantum mechanics , sociology
We propose a delayed SIR model with saturated incidence rate. The delay is incorporated into the model in order to model the latent period. The basic reproductive numberR0 is obtained. Furthermore, using time delay as a bifurcation parameter, it is proven that there exists a critical value of delay for the stability of diseases prevalence. When the delay exceeds the critical value, the system loses its stability and a Hopf bifurcation occurs. The model is extended to assessthe impact of some control measures, by reformulating the model as an optimal control problem with vaccination and treatment. The existence of the optimal control is also proved. Finally, some numerical simulations are performed to verify the theoreticalanalysis

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