A noninteger order SEITR dynamical model for TB View Full Text


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Article Info

DATE

2022-03-26

AUTHORS

Jitendra Panchal, Falguni Acharya, Kanan Joshi

ABSTRACT

This research paper designs the noninteger order SEITR dynamical model in the Caputo sense for tuberculosis. The authors of the article have classified the infection compartment into four different compartments such as newly infected unrecognized individuals, diagnosed patients, highly infected patients, and patients with delays in treatment which provide better detail of the TB infection dynamic. We estimate the model parameters using the least square curve fitting and demonstrate that the proposed model provides a good fit to tuberculosis confirmed cases of India from the year 2000 to 2020. Further, we compute the basic reproduction number as ℜ0≈1.73\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\Re _{0} \approx 1.73$\end{document} of the model using the next-generation matrix method and the model equilibria. The existence and uniqueness of the approximate solution for the SEITR model is validated using the generalized Adams–Bashforth–Moulton method. The graphical representation of the fractional order model is given to validate the result using the numerical simulation. We conclude that the fractional order model is more realistic than the classical integer order model and provide more detailed information about the real data of the TB disease dynamics. More... »

PAGES

27

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13662-022-03700-0

DOI

http://dx.doi.org/10.1186/s13662-022-03700-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1146631402

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35450198


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