Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease

In this article, the Caputo fractional order model with low risk individuals of the tuberculosis is proposed. We investigate a qualitative analysis of the epidemic model via positivity, existence and uniqueness, stability and threshold quantity. Conducting a sensitivity analysis and examining the dy...

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Main Authors: Nik Long, Nik Mohd Asri, Nawaz, Rashid, Shohaimi, Shamarina
Format: Article
Language:English
Published: Universiti Putra Malaysia 2024
Online Access:http://psasir.upm.edu.my/id/eprint/118314/
http://psasir.upm.edu.my/id/eprint/118314/1/118314.pdf
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author Nik Long, Nik Mohd Asri
Nawaz, Rashid
Shohaimi, Shamarina
author_facet Nik Long, Nik Mohd Asri
Nawaz, Rashid
Shohaimi, Shamarina
author_sort Nik Long, Nik Mohd Asri
building UPM Institutional Repository
collection Online Access
description In this article, the Caputo fractional order model with low risk individuals of the tuberculosis is proposed. We investigate a qualitative analysis of the epidemic model via positivity, existence and uniqueness, stability and threshold quantity. Conducting a sensitivity analysis and examining the dynamics of threshold parameters enable the assessment of the efficacy of preventive measures, prediction of future outbreaks, and the formulation of potential strategies for disease control. Numerical computations are executed using the Laplace Adomian decomposition method. The findings imply that the increment of low risk individuals can mitigate the prevalence and impact of tuberculosis on the human population in the respective region.
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spelling upm-1183142025-07-07T04:10:00Z http://psasir.upm.edu.my/id/eprint/118314/ Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease Nik Long, Nik Mohd Asri Nawaz, Rashid Shohaimi, Shamarina In this article, the Caputo fractional order model with low risk individuals of the tuberculosis is proposed. We investigate a qualitative analysis of the epidemic model via positivity, existence and uniqueness, stability and threshold quantity. Conducting a sensitivity analysis and examining the dynamics of threshold parameters enable the assessment of the efficacy of preventive measures, prediction of future outbreaks, and the formulation of potential strategies for disease control. Numerical computations are executed using the Laplace Adomian decomposition method. The findings imply that the increment of low risk individuals can mitigate the prevalence and impact of tuberculosis on the human population in the respective region. Universiti Putra Malaysia 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/118314/1/118314.pdf Nik Long, Nik Mohd Asri and Nawaz, Rashid and Shohaimi, Shamarina (2024) Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease. Malaysian Journal of Mathematical Sciences, 18 (4). pp. 919-947. ISSN 1823-8343 https://mjms.upm.edu.my/lihatmakalah.php?kod=2024/December/18/4/919-947 10.47836/mjms.18.4.14
spellingShingle Nik Long, Nik Mohd Asri
Nawaz, Rashid
Shohaimi, Shamarina
Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
title Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
title_full Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
title_fullStr Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
title_full_unstemmed Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
title_short Caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
title_sort caputo fractional differential equations for low–risk individuals of the tuberculosis transmission disease
url http://psasir.upm.edu.my/id/eprint/118314/
http://psasir.upm.edu.my/id/eprint/118314/
http://psasir.upm.edu.my/id/eprint/118314/
http://psasir.upm.edu.my/id/eprint/118314/1/118314.pdf