Research on nonlinear infectious disease models influenced by media factors and optimal control

In this article, a mathematical model was developed to describe disease control by media factors. The Lambert W function was used to convert the system definition by implicit functions into explicit functions. We analyzed the dynamics of the defined piecewise smooth system and verified the correctne...

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Main Authors: Danni Wang, Hongli Yang, Liangui Yang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024172?viewType=HTML
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author Danni Wang
Hongli Yang
Liangui Yang
author_facet Danni Wang
Hongli Yang
Liangui Yang
author_sort Danni Wang
collection DOAJ
description In this article, a mathematical model was developed to describe disease control by media factors. The Lambert W function was used to convert the system definition by implicit functions into explicit functions. We analyzed the dynamics of the defined piecewise smooth system and verified the correctness of the theoretical analysis through numerical simulation. Research revealed that media factors can delay the peak of an epidemic and reduce the scale of the epidemic. It is worth noting that adopting different control measures has a certain impact on the scale of the epidemic; the analysis results indicate that implementing dual-control is the most effective way to limit the spread of diseases and this strategy may provide clues for disease control.
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spelling doaj.art-569e39e9099c4bde8f40732b01c3b96a2024-01-29T01:15:55ZengAIMS PressAIMS Mathematics2473-69882024-01-01923505352010.3934/math.2024172Research on nonlinear infectious disease models influenced by media factors and optimal controlDanni Wang0Hongli Yang1Liangui Yang2School of Mathematical Sciences, Inner Mongolia University, Hohhot 010021, ChinaSchool of Mathematical Sciences, Inner Mongolia University, Hohhot 010021, ChinaSchool of Mathematical Sciences, Inner Mongolia University, Hohhot 010021, ChinaIn this article, a mathematical model was developed to describe disease control by media factors. The Lambert W function was used to convert the system definition by implicit functions into explicit functions. We analyzed the dynamics of the defined piecewise smooth system and verified the correctness of the theoretical analysis through numerical simulation. Research revealed that media factors can delay the peak of an epidemic and reduce the scale of the epidemic. It is worth noting that adopting different control measures has a certain impact on the scale of the epidemic; the analysis results indicate that implementing dual-control is the most effective way to limit the spread of diseases and this strategy may provide clues for disease control.https://www.aimspress.com/article/doi/10.3934/math.2024172?viewType=HTMLsir epidemic modeloptimal controldynamicmedia factorslambert w function
spellingShingle Danni Wang
Hongli Yang
Liangui Yang
Research on nonlinear infectious disease models influenced by media factors and optimal control
AIMS Mathematics
sir epidemic model
optimal control
dynamic
media factors
lambert w function
title Research on nonlinear infectious disease models influenced by media factors and optimal control
title_full Research on nonlinear infectious disease models influenced by media factors and optimal control
title_fullStr Research on nonlinear infectious disease models influenced by media factors and optimal control
title_full_unstemmed Research on nonlinear infectious disease models influenced by media factors and optimal control
title_short Research on nonlinear infectious disease models influenced by media factors and optimal control
title_sort research on nonlinear infectious disease models influenced by media factors and optimal control
topic sir epidemic model
optimal control
dynamic
media factors
lambert w function
url https://www.aimspress.com/article/doi/10.3934/math.2024172?viewType=HTML
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AT hongliyang researchonnonlinearinfectiousdiseasemodelsinfluencedbymediafactorsandoptimalcontrol
AT lianguiyang researchonnonlinearinfectiousdiseasemodelsinfluencedbymediafactorsandoptimalcontrol