SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis

In this paper, we developed a SIRV epidemic model based on a vaccination game, incorporating vaccination dynamics and data memory effects using the Caputo fractional derivative. This approach effectively captured the nonlocal and power-law characteristics of influenza transmission. We confirmed the...

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Main Authors: Qun Dai, Zeheng Wang
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:Electronic Research Archive
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Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024318
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author Qun Dai
Zeheng Wang
author_facet Qun Dai
Zeheng Wang
author_sort Qun Dai
collection DOAJ
description In this paper, we developed a SIRV epidemic model based on a vaccination game, incorporating vaccination dynamics and data memory effects using the Caputo fractional derivative. This approach effectively captured the nonlocal and power-law characteristics of influenza transmission. We confirmed the model's biological well-posedness, proved the uniqueness and existence of solutions, and analyzed stability. Furthermore, we established global Ulam-Hyers stability. The results showed that the epidemic incidence depended on the number of reproductions in the system. Through the Grünwald-Letnikov method, we developed the numerical simulations. We validated our theoretical findings and provided insights into the impact of vaccination on influenza progression. Our simulations revealed that strategic vaccination decisions were influenced by individual perceptions of the benefits and costs to achieving control of the influenza disease.
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series Electronic Research Archive
spelling doaj-art-76511d2efe704f01b55c97e03662f4f92025-01-23T07:53:06ZengAIMS PressElectronic Research Archive2688-15942024-12-0132126792682110.3934/era.2024318SIRV fractional epidemic model of influenza with vaccine game theory and stability analysisQun Dai0Zeheng Wang1School of Mathematics and Statistics, Changchun University of Science and Technology, Changchun 130022, ChinaSchool of Mathematics and Statistics, Changchun University of Science and Technology, Changchun 130022, ChinaIn this paper, we developed a SIRV epidemic model based on a vaccination game, incorporating vaccination dynamics and data memory effects using the Caputo fractional derivative. This approach effectively captured the nonlocal and power-law characteristics of influenza transmission. We confirmed the model's biological well-posedness, proved the uniqueness and existence of solutions, and analyzed stability. Furthermore, we established global Ulam-Hyers stability. The results showed that the epidemic incidence depended on the number of reproductions in the system. Through the Grünwald-Letnikov method, we developed the numerical simulations. We validated our theoretical findings and provided insights into the impact of vaccination on influenza progression. Our simulations revealed that strategic vaccination decisions were influenced by individual perceptions of the benefits and costs to achieving control of the influenza disease.https://www.aimspress.com/article/doi/10.3934/era.2024318influenzavaccination gamecaputo fractional derivativeulam-hyers stabilitylyapunov stability
spellingShingle Qun Dai
Zeheng Wang
SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis
Electronic Research Archive
influenza
vaccination game
caputo fractional derivative
ulam-hyers stability
lyapunov stability
title SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis
title_full SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis
title_fullStr SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis
title_full_unstemmed SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis
title_short SIRV fractional epidemic model of influenza with vaccine game theory and stability analysis
title_sort sirv fractional epidemic model of influenza with vaccine game theory and stability analysis
topic influenza
vaccination game
caputo fractional derivative
ulam-hyers stability
lyapunov stability
url https://www.aimspress.com/article/doi/10.3934/era.2024318
work_keys_str_mv AT qundai sirvfractionalepidemicmodelofinfluenzawithvaccinegametheoryandstabilityanalysis
AT zehengwang sirvfractionalepidemicmodelofinfluenzawithvaccinegametheoryandstabilityanalysis