Stability analysis and optimal control of the fractional-order SEIQR epidemic model with logistic input

Sufficient conditions are established to guarantee local asymptotic stability of these equilibria. Considering infectious disease prevention and control strategies, we prove the existence of FOCP solutions and analyze the effects of the optimal control strategy. Furthermore, the effectiveness of the theoretical results is confirmed. Finally, the proposed model is applied to COVID-19 data.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2026-04-17
DOI
https://doi.org/10.1080/10255842.2026.2645172
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Stability analysis and optimal control of the fractional-order SEIQR epidemic model with logistic input

Shenglong Chen, Zhiming Li, Ruisheng Yu
Computer Methods in Biomechanics & Biomedical Engineering
Mathematical and Theoretical Epidemiology and Ecology Models
article

Stability analysis and optimal control of the fractional-order SEIQR epidemic model with logistic input

Shenglong Chen, Zhiming Li, Ruisheng Yu
article en

Abstract

Sufficient conditions are established to guarantee local asymptotic stability of these equilibria. Considering infectious disease prevention and control strategies, we prove the existence of FOCP solutions and analyze the effects of the optimal control strategy. Furthermore, the effectiveness of the theoretical results is confirmed. Finally, the proposed model is applied to COVID-19 data.

Computer Methods in Biomechanics & Biomedical Engineering
Xinjiang University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 11%
Mathematical and Theoretical Epidemiology and Ecology Models
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