Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99599
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dc.contributorDepartment of Applied Mathematics-
dc.creatorFisher, Aen_US
dc.creatorXu, Hen_US
dc.creatorHe, Den_US
dc.creatorWang, Xen_US
dc.date.accessioned2023-07-18T03:11:31Z-
dc.date.available2023-07-18T03:11:31Z-
dc.identifier.issn1547-1063en_US
dc.identifier.urihttp://hdl.handle.net/10397/99599-
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.rights©2023 the Author(s), licensee AIMS Press.en_US
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)en_US
dc.rightsThe following publication Allison Fisher, Hainan Xu, Daihai He, Xueying Wang. Effects of vaccination on mitigating COVID-19 outbreaks: a conceptual modeling approach[J]. Mathematical Biosciences and Engineering, 2023, 20(3): 4816-4837 is available at doi: 10.3934/mbe.2023223.en_US
dc.subjectCOVID-19en_US
dc.subjectVaccinationen_US
dc.subjectSEIRD modelen_US
dc.subjectReproduction numberen_US
dc.subjectThreshold dynamicsen_US
dc.titleEffects of vaccination on mitigating COVID-19 outbreaks : a conceptual modeling approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage4816en_US
dc.identifier.epage4837en_US
dc.identifier.volume20en_US
dc.identifier.issue3en_US
dc.identifier.doi10.3934/mbe.2023223en_US
dcterms.abstractThis paper is devoted to investigating the impact of vaccination on mitigating COVID-19 outbreaks. In this work, we propose a compartmental epidemic ordinary differential equation model, which extends the previous so-called SEIRD model [1–4] by incorporating the birth and death of the population, disease-induced mortality and waning immunity, and adding a vaccinated compartment to account for vaccination. Firstly, we perform a mathematical analysis for this model in a special case where the disease transmission is homogeneous and vaccination program is periodic in time. In particular, we define the basic reproduction number R0 for this system and establish a threshold type of result on the global dynamics in terms of R0. Secondly, we fit our model into multiple COVID-19 waves in four locations including Hong Kong, Singapore, Japan, and South Korea and then forecast the trend of COVID-19 by the end of 2022. Finally, we study the effects of vaccination again the ongoing pandemic by numerically computing the basic reproduction number R0 under different vaccination programs. Our findings indicate that the fourth dose among the high-risk group is likely needed by the end of the year. © 2023 the Author(s), licensee AIMS Press.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematical biosciences and engineering, 2023, v. 20, no. 3, p. 4816-4837en_US
dcterms.isPartOfMathematical biosciences and engineeringen_US
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85145979440-
dc.identifier.pmid36896524-
dc.identifier.eissn1551-0018en_US
dc.description.validate202307 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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