Analysis of Tuberculosis by SEIR Model with Holling Type-II Treatment Function and Optimal Control

This study focuses on the analysis of tuberculosis using mathematical modeling and optimal control strategies. It emphasizes the significance of understanding tuberculosis as an infectious disease for effective control. The article utilizes the SEIR model with a Holling type-II treatment function and a non-linear incidence rate to study tuberculosis. Additionally, it discusses equilibrium points and stability analysis in these models. The study identifies the potential spread of the disease through the estimation of R0 for the model. Furthermore, it explores the application of optimal control techniques to minimize tuberculosis occurrences and reduce control costs. The document includes a numerical example to demonstrate the efficacy of these strategies. Overall, this study presents a comprehensive analysis of tuberculosis using mathematical modeling and underscores the importance of prudent control strategies in managing the disease.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-24
DOI
https://doi.org/10.5281/zenodo.15082334
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of Tuberculosis by SEIR Model with Holling Type-II Treatment Function and Optimal Control

Zenodo (CERN European Organization for Nuclear Research)
Mathematical and Theoretical Epidemiology and Ecology Models
article

Analysis of Tuberculosis by SEIR Model with Holling Type-II Treatment Function and Optimal Control

article en

Abstract

This study focuses on the analysis of tuberculosis using mathematical modeling and optimal control strategies. It emphasizes the significance of understanding tuberculosis as an infectious disease for effective control. The article utilizes the SEIR model with a Holling type-II treatment function and a non-linear incidence rate to study tuberculosis. Additionally, it discusses equilibrium points and stability analysis in these models. The study identifies the potential spread of the disease through the estimation of R0 for the model. Furthermore, it explores the application of optimal control techniques to minimize tuberculosis occurrences and reduce control costs. The document includes a numerical example to demonstrate the efficacy of these strategies. Overall, this study presents a comprehensive analysis of tuberculosis using mathematical modeling and underscores the importance of prudent control strategies in managing the disease.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 45%
Mathematical and Theoretical Epidemiology and Ecology Models
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