On the decomposition and analysis of novel simultaneous SEIQR epidemic model

dc.contributor.authorUmapathy, Kalpana
dc.contributor.authorPalanivelu, Balaganesan
dc.contributor.authorJayaraj, Renuka
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorDhandapani, Prasantha Bharathi
dc.contributor.authorID56389tr_TR
dc.contributor.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümütr_TR
dc.date.accessioned2024-07-04T10:05:11Z
dc.date.available2024-07-04T10:05:11Z
dc.date.issued2023
dc.description.abstractIn this manuscript, we are proposing a new kind of modified Susceptible Exposed Infected Quarantined Recovered model (SEIQR) with some assumed data. The novelty imposed here in the study is that we are studying simultaneously SIR, SEIR, SIQR, and SEQR pandemic models with the same data unchanged as the SEIQR model. We are taking this model a step ahead by using a non-helpful transition because it was mostly skipped in the literature. All sorts of features that are essential to study the models, such as basic reproduction number, stability analysis, and numerical simulations have been examined for this modified SEIQR model with decomposed other epidemic models. © 2023 the Author(s), licensee AIMS Press.tr_TR
dc.identifier.citationUmapathy, Kalpana...et al.(2023). "On the decomposition and analysis of novel simultaneous SEIQR epidemic model", AIMS Mathematics, Vol. 8, No. 3, pp. 5918-5933.tr_TR
dc.identifier.endpage5933tr_TR
dc.identifier.issn2473-6988
dc.identifier.issue3tr_TR
dc.identifier.startpage5918tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12416/8500
dc.identifier.volume8tr_TR
dc.language.isoengtr_TR
dc.relation.isversionof10.3934/math.2023298tr_TR
dc.relation.journalAIMS Mathematicstr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectBasic Reproduction Numbertr_TR
dc.subjectNew SEIQR Epidemic Modeltr_TR
dc.subjectPandemic Modeltr_TR
dc.subjectQuarantine Strategytr_TR
dc.subjectSensitivity Analysistr_TR
dc.subjectStability Analysistr_TR
dc.titleOn the decomposition and analysis of novel simultaneous SEIQR epidemic modeltr_TR
dc.typearticletr_TR

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