The role of a vaccine booster for a fractional order model of the dynamic of COVID-19: a case study in Thailand

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dc.contributor.authorPongsumpun, Puntipa
dc.contributor.authorPongsumpun, Puntani
dc.contributor.authorTang, I. Ming
dc.contributor.authorLamwong, Jiraporn
dc.date.accessioned2026-08-06T10:52:46Z
dc.date.available2026-08-06T10:52:46Z
dc.date.issued2025-12-01
dc.description.abstractThis article addresses the critical need for understanding the dynamics of COVID-19 transmission and the role of booster vaccinations in managing the pandemic. Despite widespread vaccination efforts, the emergence of new variants and the waning of immunity over time necessitate more effective strategies. A fractional-order mathematical model using Caputo-Fabrizio derivatives was developed to analyze the impact of booster doses, symptomatic and asymptomatic infections, and quarantine measures. The model incorporates real epidemic data from Thailand and includes a sensitivity analysis of parameters influencing disease spread. Numerical results indicate that booster vaccinations significantly reduce transmission rates, and the model’s predictions align well with the observed data. The basic reproduction number was determined to evaluate disease control, showing that a sustained vaccination campaign, including booster doses, is essential to maintaining immunity and controlling future outbreaks. The findings underscore the importance of ongoing vaccination efforts and provide a robust framework for policymakers to design effective strategies for pandemic control.
dc.identifier.citationScientific Reports, 15(1), 2025
dc.identifier.doi10.1038/s41598-024-80390-6
dc.identifier.issn20452322
dc.identifier.other2-s2.0-85214260411
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17385
dc.sourceScientific Reports
dc.subjectCaputo-Fabrizio derivatives
dc.subjectCOVID-19
dc.subjectExistence and uniqueness
dc.subjectGlobal stability
dc.subjectModel fitting
dc.subjectVaccination
dc.titleThe role of a vaccine booster for a fractional order model of the dynamic of COVID-19: a case study in Thailand
dc.typeArticle

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