Fractional time-delay mathematical modeling of Oncolytic Virotherapy

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dc.contributor.authorKumar, Pushpendra
dc.contributor.authorErturk, Vedat Suat
dc.contributor.authorYusuf, Abdullahi
dc.contributor.authorKumar, Sunil
dc.date.accessioned2024-01-21T10:35:32Z
dc.date.accessioned2024-08-13T11:17:02Z
dc.date.available2024-01-21T10:35:32Z
dc.date.available2024-08-13T11:17:02Z
dc.date.issued2021-06-19T00:00:00
dc.description.abstractAn emerging treatment tool which uses replication-competent viruses to dissipate cancers without causing deficit to normal tissues, named as oncolytic virotherapy, is discussed in the article. We analysed a fractional delay dynamical model on the oncolytic virotherapy compositing viral lytic cycle and virus-specific cytotoxic T lymphocyte (CTL) response. We used a well known Caputo fractional derivative to analyse the structure of the given dynamical model. Using the literature of fixed-point theory, the given time-delay model is specified to have existence of a unique solution. We established different types of graphical simulations for the various values of R0 and R1. We observed a different behaviour of the given fractional model as compare to the integer order model. The given algorithm is smooth in use and reliable to apply on different delay dynamical models. � 2021 Elsevier Ltden_US
dc.identifier.doi10.1016/j.chaos.2021.111123
dc.identifier.issn9600779
dc.identifier.urihttp://10.2.3.109/handle/32116/3360
dc.identifier.urlhttps://linkinghub.elsevier.com/retrieve/pii/S096007792100477X
dc.language.isoen_USen_US
dc.publisherElsevier Ltden_US
dc.subjectCaputo fractional derivativeen_US
dc.subjectFixed point theoryen_US
dc.subjectFractional delay differential equationen_US
dc.subjectImmune responseen_US
dc.subjectMathematical modelen_US
dc.subjectOncolytic Virotherapyen_US
dc.subjectPredictor-Corrector schemeen_US
dc.titleFractional time-delay mathematical modeling of Oncolytic Virotherapyen_US
dc.title.journalChaos, Solitons and Fractalsen_US
dc.typeArticleen_US
dc.type.accesstypeClosed Accessen_US

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