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Competitive Analysis for Stochastic Influenza Model With Constant Vaccination Strategy

dc.authorid Raza, Ali/0000-0002-6443-9966
dc.authorid Arif, Muhammad Shoaib/0000-0002-6009-5609
dc.authorid Rafiq, Muhammad/0000-0002-2165-3479
dc.authorscopusid 7005872966
dc.authorscopusid 56072492500
dc.authorscopusid 55960372700
dc.authorscopusid 57224647378
dc.authorscopusid 57212025314
dc.authorwosid Arif, Muhammad Shoaib/Abc-4011-2020
dc.authorwosid Raza, Ali/Abe-1951-2021
dc.authorwosid Ali, Muhammad/Z-6235-2019
dc.authorwosid Baleanu, Dumitru/B-9936-2012
dc.authorwosid Rafiq, Muhammad/Gnw-5095-2022
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Raza, Ali
dc.contributor.author Rafiq, Muhammad
dc.contributor.author Arif, Muhammad Shoaib
dc.contributor.author Ali, Muhammad Asghar
dc.contributor.authorID 56389 tr_TR
dc.contributor.other Matematik
dc.date.accessioned 2020-05-18T22:58:30Z
dc.date.available 2020-05-18T22:58:30Z
dc.date.issued 2019
dc.department Çankaya University en_US
dc.department-temp [Baleanu, Dumitru] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey; [Raza, Ali] Inst Space Sci, Magurele, Magurele, Romania; [Raza, Ali; Arif, Muhammad Shoaib] Air Univ, Dept Math, Stochast Anal & Optimizat Res Grp, PAF Complex E-9, Islamabad, Pakistan; [Rafiq, Muhammad] Univ Cent Punjab, Fac Engn, Lahore, Pakistan; [Ali, Muhammad Asghar] Univ Lahore, Dept Math, Lahore, Pakistan en_US
dc.description Raza, Ali/0000-0002-6443-9966; Arif, Muhammad Shoaib/0000-0002-6009-5609; Rafiq, Muhammad/0000-0002-2165-3479 en_US
dc.description.abstract This manuscript discusses a competitive analysis of stochastic influenza model with constant vaccination strategy. The stochastic influenza model is comparatively more pragmatic versus the deterministic influenza model. The effect of influenza generation number holds in the stochastic model. If the value of this number is less than one, this situation will help us to control the disease in a population. A greater than one value of this threshold number shows the persistence of disease to become endemic. The proposed structure for the stochastic influenza model as stochastic non-standard finite difference scheme conserve all vital characteristics like positivity, boundedness and dynamical consistency defined by Mickens. en_US
dc.description.publishedMonth 12
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.citation Baleanu, Dumitru...et al. (2019). "Competitive Analysis for Stochastic Influenza Model With Constant Vaccination Strategy",Iet Systems Biology, Vol. 13, No. 6, pp. 316-326. en_US
dc.identifier.doi 10.1049/iet-syb.2019.0065
dc.identifier.endpage 326 en_US
dc.identifier.issn 1751-8849
dc.identifier.issn 1751-8857
dc.identifier.issue 6 en_US
dc.identifier.pmid 31778128
dc.identifier.scopus 2-s2.0-85075760134
dc.identifier.scopusquality Q3
dc.identifier.startpage 316 en_US
dc.identifier.uri https://doi.org/10.1049/iet-syb.2019.0065
dc.identifier.volume 13 en_US
dc.identifier.wos WOS:000499465900005
dc.identifier.wosquality Q2
dc.language.iso en en_US
dc.publisher inst Engineering Technology-iet en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 18
dc.subject Finite Difference Methods en_US
dc.subject Diseases en_US
dc.subject Stochastic Processes en_US
dc.subject Competitive Analysis en_US
dc.subject Stochastic Influenza Model en_US
dc.subject Constant Vaccination Strategy en_US
dc.subject Deterministic Influenza Model en_US
dc.subject Influenza Generation Number en_US
dc.subject Stochastic Model en_US
dc.title Competitive Analysis for Stochastic Influenza Model With Constant Vaccination Strategy tr_TR
dc.title Competitive Analysis for Stochastic Influenza Model With Constant Vaccination Strategy en_US
dc.type Article en_US
dc.wos.citedbyCount 16
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery f4fffe56-21da-4879-94f9-c55e12e4ff62
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relation.isOrgUnitOfPublication.latestForDiscovery 26a93bcf-09b3-4631-937a-fe838199f6a5

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