Modeling and analysis of Caputo-type fractional-order SEIQR epidemic model

dc.contributor.authorDas, Dhiraj Kumar
dc.date.accessioned2025-02-04T10:54:38Z
dc.date.available2025-02-04T10:54:38Z
dc.date.issued2023-11
dc.description.abstractIn this research, a susceptible-exposed-infected-quarantine-recovered-type epidemic model containing fractional-order differential equations is suggested and examined in order to better understand the dynamical behavior of the infectious illness in the presence of vaccination and treatments. The non-negative and bounded solutions of our proposed model are examined for existence and uniqueness. We investigate the explicit formulation of a threshold , often known as the basic reproduction number, using the next-generation matrix technique. Depending on the value of , one endemic equilibrium exists and is stable for , and one disease-free equilibrium (exist for all values of ) is stable for . This article has also noticed the emergence of a transcritical bifurcation. The relevance of using vaccination and treatments as controls has been met by formulating a fractional-order optimal control problem. The resulting theoretical conclusions are supported by a few numerical simulations. Ultimately, a global sensitivity analysis is carried out to identify the parameters that have the greatest influence.en_US
dc.identifier.urihttps://link.springer.com/article/10.1007/s40435-023-01348-6
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17160
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectMathematicsen_US
dc.subjectEpidemic modelen_US
dc.subjectBasic reproduction numberen_US
dc.subjectTranscritical bifurcationen_US
dc.subjectFractional-order optimal controlen_US
dc.titleModeling and analysis of Caputo-type fractional-order SEIQR epidemic modelen_US
dc.typeArticleen_US

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