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Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model
This paper presents a deterministic compartmental model for echinococcosis transmission dynamics. The basic reproduction number of the model determines the existence and stability of the disease-free and disease-endemic equilibrium points. We further formulate the optimal control problem and obtain...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151005/ https://www.ncbi.nlm.nih.gov/pubmed/35651923 http://dx.doi.org/10.1155/2022/6154866 |
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author | Yang, Run Zhao, Jianglin Yan, Yong |
author_facet | Yang, Run Zhao, Jianglin Yan, Yong |
author_sort | Yang, Run |
collection | PubMed |
description | This paper presents a deterministic compartmental model for echinococcosis transmission dynamics. The basic reproduction number of the model determines the existence and stability of the disease-free and disease-endemic equilibrium points. We further formulate the optimal control problem and obtain the necessary conditions to minimize the number of infected individuals and the associated costs. Numerical simulations show that optimal control strategies can significantly reduce the number of infected individuals to lower levels. Environmental disinfection may be essential for the elimination of infections. The results of this study will be beneficial for the prevention and control of echinococcosis in the Ganzi Tibetan Autonomous Prefecture and other areas of China. |
format | Online Article Text |
id | pubmed-9151005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91510052022-05-31 Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model Yang, Run Zhao, Jianglin Yan, Yong Comput Math Methods Med Research Article This paper presents a deterministic compartmental model for echinococcosis transmission dynamics. The basic reproduction number of the model determines the existence and stability of the disease-free and disease-endemic equilibrium points. We further formulate the optimal control problem and obtain the necessary conditions to minimize the number of infected individuals and the associated costs. Numerical simulations show that optimal control strategies can significantly reduce the number of infected individuals to lower levels. Environmental disinfection may be essential for the elimination of infections. The results of this study will be beneficial for the prevention and control of echinococcosis in the Ganzi Tibetan Autonomous Prefecture and other areas of China. Hindawi 2022-05-23 /pmc/articles/PMC9151005/ /pubmed/35651923 http://dx.doi.org/10.1155/2022/6154866 Text en Copyright © 2022 Run Yang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yang, Run Zhao, Jianglin Yan, Yong Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model |
title | Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model |
title_full | Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model |
title_fullStr | Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model |
title_full_unstemmed | Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model |
title_short | Stability Analysis and Optimal Control Strategies of an Echinococcosis Transmission Model |
title_sort | stability analysis and optimal control strategies of an echinococcosis transmission model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151005/ https://www.ncbi.nlm.nih.gov/pubmed/35651923 http://dx.doi.org/10.1155/2022/6154866 |
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