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A new fractional mathematical modelling of COVID-19 with the availability of vaccine

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A new fractional mathematical modelling of COVID-19 with the availability of vaccine

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dc.contributor.author Kumar, Pushpendra es_ES
dc.contributor.author Erturk, Vedat Suat es_ES
dc.contributor.author Murillo Arcila, Marina es_ES
dc.date.accessioned 2022-09-20T18:03:56Z
dc.date.available 2022-09-20T18:03:56Z
dc.date.issued 2021-05 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186407
dc.description.abstract [EN] The most dangerous disease of this decade novel coronavirus or COVID-19 is yet not over. The whole world is facing this threat and trying to stand together to defeat this pandemic. Many countries have defeated this virus by their strong control strategies and many are still trying to do so. To date, some countries have prepared a vaccine against this virus but not in an enough amount. In this research article, we proposed a new SEIRS dynamical model by including the vaccine rate. First we formulate the model with integer order and after that we generalize it in Atangana-Baleanu derivative sense. The high motivation to apply Atangana-Baleanu fractional derivative on our model is to explore the dynamics of the model more clearly. We provide the analysis of the existence of solution for the given fractional SEIRS model. We use the famous Predictor-Corrector algorithm to derive the solution of the model. Also, the analysis for the stability of the given algorithm is established. We simulate number of graphs to see the role of vaccine on the dynamics of the population. For practical simulations, we use the parameter values which are based on real data of Spain. The main motivation or aim of this research study is to justify the role of vaccine in this tough time of COVID-19. A clear role of vaccine at this crucial time can be realized by this study. es_ES
dc.description.sponsorship The third author is supported by MEC, Spain, grants MTM2016-75963-P and PID2019105011GBI00 es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Results in Physics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject COVID-19 es_ES
dc.subject Vaccine es_ES
dc.subject Virus es_ES
dc.subject Mathematical model es_ES
dc.subject Numerical algorithm es_ES
dc.subject Atangana-Baleanu fractional derivative es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A new fractional mathematical modelling of COVID-19 with the availability of vaccine es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.rinp.2021.104213 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105011GB-I00/ES/DINAMICA DE OPERADORES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//MTM2016-75963-P//DINAMICA DE OPERADORES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Kumar, P.; Erturk, VS.; Murillo Arcila, M. (2021). A new fractional mathematical modelling of COVID-19 with the availability of vaccine. Results in Physics. 24:1-26. https://doi.org/10.1016/j.rinp.2021.104213 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.rinp.2021.104213 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 26 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 24 es_ES
dc.identifier.eissn 2211-3797 es_ES
dc.identifier.pmid 33898210 es_ES
dc.identifier.pmcid PMC8057057 es_ES
dc.relation.pasarela S\455726 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES


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