Zobrazit minimální záznam

dc.contributor.authorAl-Hdaibat, Bashir
dc.contributor.authorMeetei, Mutum Zico
dc.contributor.authorAhmad, Irfan
dc.contributor.authorAlthobaiti, Nesreen
dc.contributor.authorSafi, Mohammad A.
dc.contributor.authorKhan, Muhammad Altaf
dc.contributor.authorRiaz, Muhammad Bilal
dc.date.accessioned2024-06-11T07:13:42Z
dc.date.available2024-06-11T07:13:42Z
dc.date.issued2023
dc.identifier.citationResults in Physics. 2023, vol. 55, art. no. 107127.cs
dc.identifier.issn2211-3797
dc.identifier.urihttp://hdl.handle.net/10084/152696
dc.description.abstractThe mathematical model for monkeypox infection using the Psi-Hilfer fractional derivative is presented in this study. The integer order formulation is extended to the fractional order system by employing the Psi- Hilfer fractional derivative. The fractional order model analysis is provided. We investigate the model's local asymptotical stability when R-0 < 1. When R-0 > 1, the global asymptotical stability result is displayed. We parameterize the model using recently reported cases of monkeypox infection in the United States. We calculated the basic reproduction using the estimated data and found it to be R-0 approximate to 0.7121. We investigate the sensitivity of the monkeypox infection model and find the parameters that are sensitive R-0. In general, we offer a numerical approach, and then for the monkeypox model, we present detailed findings. Some graphical outcomes for disease control in the United States are shown.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesResults in Physicscs
dc.relation.urihttps://doi.org/10.1016/j.rinp.2023.107127cs
dc.rights© 2023 The Authors. Published by Elsevier B.V.cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectUSA datacs
dc.subjectstabilitycs
dc.subjectnumerical simulationcs
dc.subjectpsi-Hilfer derivativecs
dc.titleThe dynamics of monkeypox disease under ψ-Hilfer fractional derivative: Application to real datacs
dc.typearticlecs
dc.identifier.doi10.1016/j.rinp.2023.107127
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume55cs
dc.description.firstpageart. no. 107127cs
dc.identifier.wos001110392900001


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Zobrazit minimální záznam

© 2023 The Authors. Published by Elsevier B.V.
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