Optimal control of infectious diseases using vaccination and treatment

Purpose: This paper aims to investigate the proposed mathematical model using the optimal control strategy to prevent the spread of the disease on the model. For this purpose, an optimal control problem with the objective function is introduced, and vaccination and treatment are considered control v...

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Bibliographic Details
Main Author: Maryam Nikbakht
Format: Article
Language:fas
Published: Ayandegan Institute of Higher Education, Tonekabon, 2024-08-01
Series:تصمیم گیری و تحقیق در عملیات
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Online Access:https://www.journal-dmor.ir/article_208488_0fcf0a8b40f9b171a378747739f11ad8.pdf
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Summary:Purpose: This paper aims to investigate the proposed mathematical model using the optimal control strategy to prevent the spread of the disease on the model. For this purpose, an optimal control problem with the objective function is introduced, and vaccination and treatment are considered control variables.Methodology:  In this study, the necessary control conditions and the existence of optimal control are expressed by applying the control to the SIR-differential equation system. The experimental results are compared with those obtained from the fourth-order runge-kutta scheme. It should be noted that the proposed model is a public model suggested for contagious diseases and can be used as a method to prevent the spread of diseases such as influenza, coronavirus, and other infectious diseases.Findings: Numerical simulation, considered in a 90-day period, shows that using appropriate optimal control of vaccination and treatment will limit disease transmission and reduce the number of infected and infected people. The number of improved people also increases.Originality/Value: Vaccination and treatment are two controls that may be used to control the spread of disease in society. Therefore, the results are analyzed from a mathematical point of view by applying control over the model, which is considered in two cases of vaccination and treatment.
ISSN:2538-5097
2676-6159