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DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Department of Mathematics |
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