Analysis and Optimal Control of a Two-Strain SEIR Epidemic Model with Saturated Treatment Rate

In this paper, we conducted a study on the optimal control problem of an epidemic model which consists of two strain with different types of incidence rates: bilinear and non-monotonic. We also considered use of the saturation treatment function. Two basic regeneration numbers are calculated from the epidemic model, which are denoted as R1 and R2. The global stability of the disease-free equilibrium point was studied by the Lyapunov method, and it was proved that the disease-free equilibrium point is globally asymptotically stable when R1 and R2 are less than one. Finally, we formulated a time-dependent optimal control problem by Pontryagin’s maximum principle. Numerical simulations were performed to establish the effects of model parameters for disease transmission as well as the effects of control.

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Publication Details

Journal
Mathematics
Published
2024-09-27
DOI
https://doi.org/10.3390/math12193026
Citations
4
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
2.17
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article

Analysis and Optimal Control of a Two-Strain SEIR Epidemic Model with Saturated Treatment Rate

Shaoping Jiang, Hongyan Wang, Yudie Hu
4 citations
Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
2.17
article

Analysis and Optimal Control of a Two-Strain SEIR Epidemic Model with Saturated Treatment Rate

Shaoping Jiang, Hongyan Wang, Yudie Hu
article en
4 citations

Abstract

In this paper, we conducted a study on the optimal control problem of an epidemic model which consists of two strain with different types of incidence rates: bilinear and non-monotonic. We also considered use of the saturation treatment function. Two basic regeneration numbers are calculated from the epidemic model, which are denoted as R1 and R2. The global stability of the disease-free equilibrium point was studied by the Lyapunov method, and it was proved that the disease-free equilibrium point is globally asymptotically stable when R1 and R2 are less than one. Finally, we formulated a time-dependent optimal control problem by Pontryagin’s maximum principle. Numerical simulations were performed to establish the effects of model parameters for disease transmission as well as the effects of control.

MathematicsVol. 12(19)
Minzu University of China (CN)
Openalex Percentile: Top 12%
Mathematical and Theoretical Epidemiology and Ecology Models
2.17
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