Dynamic optimal control of an SEIQRS epidemic model on complex network Dynamic optimal control of an SEIQRS

Infectious diseases pose a significant threat to human life, health, and safety. Therefore, it is crucial to develop effective control strategies. In this paper, we aim to address this concern through the construction of a SEIQRS model on complex networks. This model focuses on viruses that have an...

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Bibliographic Details
Published inInternational journal of dynamics and control Vol. 13; no. 6
Main Authors Gong, Shangqing, Dai, Jianyong, Zhang, Meirong
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025
Subjects
Complexity
Control
Control and Systems Theory
Dynamical Systems
Engineering
Vibration
Optimal control
Complex networks
Numerical simulation
Epidemic model
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Summary:Infectious diseases pose a significant threat to human life, health, and safety. Therefore, it is crucial to develop effective control strategies. In this paper, we aim to address this concern through the construction of a SEIQRS model on complex networks. This model focuses on viruses that have an incubation period and are infectious during this period. In order to minimize the costs, optimal control theory is used to solve the time-varying control problem of vaccination, quarantine and treatment. Subsequently, numerical simulations are performed to analyze the pros and cons of different control combinations, as well as the impact of parameters on the effectiveness of control. By doing so, better control strategies can be developed and the relationship between parameters, contagion, and control can be revealed.
ISSN:2195-268X
2195-2698
DOI:10.1007/s40435-025-01747-x