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 |