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

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dc.contributor.author Das, Dhiraj Kumar
dc.date.accessioned 2025-02-04T10:54:38Z
dc.date.available 2025-02-04T10:54:38Z
dc.date.issued 2023-11
dc.identifier.uri https://link.springer.com/article/10.1007/s40435-023-01348-6
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17160
dc.description.abstract In 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.language.iso en en_US
dc.publisher Springer en_US
dc.subject Mathematics en_US
dc.subject Epidemic model en_US
dc.subject Basic reproduction number en_US
dc.subject Transcritical bifurcation en_US
dc.subject Fractional-order optimal control en_US
dc.title Modeling and analysis of Caputo-type fractional-order SEIQR epidemic model en_US
dc.type Article en_US


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