Optimal Control and Computational Method for the Resolution of Isoperimetric Problem in a Discrete-Time SIRS System

We consider a discrete-time susceptible-infected-removed-susceptible “again” (SIRS) epidemic model, and we introduce an optimal control function to seek the best control policy for preventing the spread of an infection to the susceptible population. In addition, we define a new compartment, which mo...

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Vydané v:Mathematical and computational applications Ročník 23; číslo 4; s. 52
Hlavní autori: El Kihal, Fadwa, Abouelkheir, Imane, Rachik, Mostafa, Elmouki, Ilias
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: MDPI AG 01.12.2018
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Abstract We consider a discrete-time susceptible-infected-removed-susceptible “again” (SIRS) epidemic model, and we introduce an optimal control function to seek the best control policy for preventing the spread of an infection to the susceptible population. In addition, we define a new compartment, which models the dynamics of the number of controlled individuals and who are supposed not to be able to reach a long-term immunity due to the limited effect of control. Furthermore, we treat the resolution of this optimal control problem when there is a restriction on the number of susceptible people who have been controlled along the time of the control strategy. Further, we provide sufficient and necessary conditions for the existence of the sought optimal control, whose characterization is also given in accordance with an isoperimetric constraint. Finally, we present the numerical results obtained, using a computational method, which combines the secant method with discrete progressive-regressive schemes for the resolution of the discrete two-point boundary value problem.
AbstractList We consider a discrete-time susceptible-infected-removed-susceptible "again" (SIRS) epidemic model, and we introduce an optimal control function to seek the best control policy for preventing the spread of an infection to the susceptible population. In addition, we define a new compartment, which models the dynamics of the number of controlled individuals and who are supposed not to be able to reach a long-term immunity due to the limited effect of control. Furthermore, we treat the resolution of this optimal control problem when there is a restriction on the number of susceptible people who have been controlled along the time of the control strategy. Further, we provide sufficient and necessary conditions for the existence of the sought optimal control, whose characterization is also given in accordance with an isoperimetric constraint. Finally, we present the numerical results obtained, using a computational method, which combines the secant method with discrete progressive-regressive schemes for the resolution of the discrete two-point boundary value problem.
Author Abouelkheir, Imane
Rachik, Mostafa
Elmouki, Ilias
El Kihal, Fadwa
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Snippet We consider a discrete-time susceptible-infected-removed-susceptible “again” (SIRS) epidemic model, and we introduce an optimal control function to seek the...
We consider a discrete-time susceptible-infected-removed-susceptible "again" (SIRS) epidemic model, and we introduce an optimal control function to seek the...
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SubjectTerms discrete-time model
isoperimetric problem
optimal control
SIRS model
Title Optimal Control and Computational Method for the Resolution of Isoperimetric Problem in a Discrete-Time SIRS System
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