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• W3207332743 endingPage "103227" @default.
• W3207332743 startingPage "103227" @default.
• W3207332743 abstract "To suppress the epidemics caused by a virus such as COVID-19, three effective strategies listing vaccination, quarantine and medical treatments, are employed under suitable policies. Quarantine motions may affect the economic systems and pharmaceutical medications may be recently in the developing phase. Thus, vaccination seems the best hope of the current situation to control COVID-19 epidemics. In this work, the dynamic model of COVID-19 epidemic is developed when the quarantine factor and the antiviral factor are established as free variables. Moreover, the impulsive populations are comprehended for traveling and migrating of individuals. The proposed dynamics with impulsive distractions are employed to generate the online data. Thereafter, the equivalent model is developed by using only the daily data of symptomatic infectious individuals and the optimal vaccination policy is derived by utilizing the closed-loop control topology. The theoretical framework of the proposed schemes validates the reduction of symptomatic infectious individuals by using fewer doses of vaccines comparing with the scheduling vaccination." @default.
• W3207332743 created "2021-10-25" @default.
• W3207332743 creator A5045641295 @default.
• W3207332743 date "2022-01-01" @default.
• W3207332743 modified "2023-09-29" @default.
• W3207332743 title "Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination" @default.
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• W3207332743 doi "https://doi.org/10.1016/j.bspc.2021.103227" @default.
• W3207332743 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8492748" @default.
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• W3207332743 hasPublicationYear "2022" @default.
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