A Fractional-Order Mathematical Model Based on Vaccinated and Infected Compartments of Sars-Cov With a Real Case Study During the Last Stages of the Epidemiological Event
| dc.contributor.author | Bilgil, Halis | |
| dc.contributor.author | Yousef, Ali | |
| dc.contributor.author | Erciyes, Ayhan | |
| dc.contributor.author | Erdinc, Ummugulsum | |
| dc.contributor.author | Ozturk, Zafer | |
| dc.date.accessioned | 2025-09-25T10:38:36Z | |
| dc.date.available | 2025-09-25T10:38:36Z | |
| dc.date.issued | 2023 | |
| dc.description | Yousef, Ali/0000-0002-8824-5947; | en_US |
| dc.description.abstract | In 2020 the world faced with a pandemic spread that affected almost everything of humans' social and health life. Regulations to decrease the epidemiological spread and studies to produce the vaccine of SARS-CoV-2 were on one side a hope to return back to the regular life, but on the other side there were also notable criticism about the vaccines itself. In this study, we established a fractional order differential equations system incorporating the vaccinated and re-infected compartments to a SIR frame to consider the expanded and detailed form as an SVIIvR model. We considered in the model some essential parameters, such as the protection rate of the vaccines, the vaccination rate, and the vaccine's lost efficacy after a certain period. We obtained the local stability of the disease-free and co-existing equilibrium points under specific conditions using the Routh-Hurwitz Criterion and the global stability in using a suitable Lyapunov function. For the numerical solutions we applied the Euler's method. The data for the simulations were taken from the World Health Organization (WHO) to illustrate numerically some scenarios that happened.(c) 2022 Elsevier B.V. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.cam.2022.115015 | |
| dc.identifier.issn | 0377-0427 | |
| dc.identifier.issn | 1879-1778 | |
| dc.identifier.scopus | 2-s2.0-85145260195 | |
| dc.identifier.uri | https://doi.org/10.1016/j.cam.2022.115015 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/3069 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.ispartof | Journal of Computational and Applied Mathematics | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | SARS-CoV-2 | en_US |
| dc.subject | Caputo Fractional Derivative | en_US |
| dc.subject | Stability | en_US |
| dc.subject | Vaccine | en_US |
| dc.title | A Fractional-Order Mathematical Model Based on Vaccinated and Infected Compartments of Sars-Cov With a Real Case Study During the Last Stages of the Epidemiological Event | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Yousef, Ali/0000-0002-8824-5947 | |
| gdc.author.scopusid | 6504499686 | |
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| gdc.author.scopusid | 57554097800 | |
| gdc.author.scopusid | 57554329700 | |
| gdc.author.wosid | Erdi̇nç, Ümmügülsüm/Izp-6166-2023 | |
| gdc.author.wosid | Bilgil, Halis/E-5661-2013 | |
| gdc.author.wosid | Yousef, Ali/Aar-5110-2021 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | Abdullah Gül University | en_US |
| gdc.description.departmenttemp | [Bilgil, Halis; Erciyes, Ayhan; Erdinc, Ummugulsum] Aksaray Univ, Dept Math, TR-68100 Aksaray, Turkey; [Yousef, Ali] Abdullah Gul Univ, Sch Engn, Engn Sci Dept, TR-38080 Kayseri, Turkey; [Yousef, Ali] Appl Sci Private Univ, Appl Sci Res Ctr, Amman 11931, Jordan; [Ozturk, Zafer] Nevsehir Haci Bektas Veli Univ, Inst Sci, TR-50300 Nevsehir, Turkey | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 115015 | |
| gdc.description.volume | 425 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W4312081807 | |
| gdc.identifier.pmid | 36573128 | |
| gdc.identifier.wos | WOS:000916103200001 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.index.type | PubMed | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 13.0 | |
| gdc.oaire.influence | 3.1699432E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | Stability Vaccine | |
| gdc.oaire.keywords | SARS-CoV-2 | |
| gdc.oaire.keywords | Caputo Fractional Derivative | |
| gdc.oaire.keywords | Article | |
| gdc.oaire.keywords | Medical epidemiology | |
| gdc.oaire.keywords | Caputo fractional derivative | |
| gdc.oaire.keywords | vaccine | |
| gdc.oaire.keywords | Fractional ordinary differential equations | |
| gdc.oaire.keywords | stability | |
| gdc.oaire.popularity | 1.2102611E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0103 physical sciences | |
| gdc.oaire.sciencefields | 0101 mathematics | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 1.7586 | |
| gdc.openalex.normalizedpercentile | 0.84 | |
| gdc.opencitations.count | 13 | |
| gdc.plumx.crossrefcites | 13 | |
| gdc.plumx.mendeley | 6 | |
| gdc.plumx.newscount | 1 | |
| gdc.plumx.pubmedcites | 1 | |
| gdc.plumx.scopuscites | 13 | |
| gdc.scopus.citedcount | 13 | |
| gdc.wos.citedcount | 8 | |
| relation.isOrgUnitOfPublication | 665d3039-05f8-4a25-9a3c-b9550bffecef | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 665d3039-05f8-4a25-9a3c-b9550bffecef |
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