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Optimal control of a discrete age-structured model for tuberculosis transmission
In this present paper, a discrete age-structured model of tuberculosis (TB) transmission is formulated and analyzed. The existence and stability of the model equilibriums are discussed based on the basic reproduction ratio. A sensitivity analysis of the model parameters is determined. We then apply...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940635/ https://www.ncbi.nlm.nih.gov/pubmed/31909242 http://dx.doi.org/10.1016/j.heliyon.2019.e03030 |
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author | Fatmawati Dyah Purwati, Utami Riyudha, Firman Tasman, Hengki |
author_facet | Fatmawati Dyah Purwati, Utami Riyudha, Firman Tasman, Hengki |
author_sort | Fatmawati |
collection | PubMed |
description | In this present paper, a discrete age-structured model of tuberculosis (TB) transmission is formulated and analyzed. The existence and stability of the model equilibriums are discussed based on the basic reproduction ratio. A sensitivity analysis of the model parameters is determined. We then apply the optimal control strategy for controlling the transmission of TB in child and adult populations. The control variables are TB prevention, chemoprophylaxis of latent TB, and active TB treatment efforts. The optimal controls are then derived analytically using the Pontryagin Maximum Principle. Various intervention strategies are performed numerically to investigate the impact of the interventions. We used the incremental cost-effectiveness ratios (ICER) to assess the benefit of each one the control strategies. |
format | Online Article Text |
id | pubmed-6940635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69406352020-01-06 Optimal control of a discrete age-structured model for tuberculosis transmission Fatmawati Dyah Purwati, Utami Riyudha, Firman Tasman, Hengki Heliyon Article In this present paper, a discrete age-structured model of tuberculosis (TB) transmission is formulated and analyzed. The existence and stability of the model equilibriums are discussed based on the basic reproduction ratio. A sensitivity analysis of the model parameters is determined. We then apply the optimal control strategy for controlling the transmission of TB in child and adult populations. The control variables are TB prevention, chemoprophylaxis of latent TB, and active TB treatment efforts. The optimal controls are then derived analytically using the Pontryagin Maximum Principle. Various intervention strategies are performed numerically to investigate the impact of the interventions. We used the incremental cost-effectiveness ratios (ICER) to assess the benefit of each one the control strategies. Elsevier 2019-12-30 /pmc/articles/PMC6940635/ /pubmed/31909242 http://dx.doi.org/10.1016/j.heliyon.2019.e03030 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Fatmawati Dyah Purwati, Utami Riyudha, Firman Tasman, Hengki Optimal control of a discrete age-structured model for tuberculosis transmission |
title | Optimal control of a discrete age-structured model for tuberculosis transmission |
title_full | Optimal control of a discrete age-structured model for tuberculosis transmission |
title_fullStr | Optimal control of a discrete age-structured model for tuberculosis transmission |
title_full_unstemmed | Optimal control of a discrete age-structured model for tuberculosis transmission |
title_short | Optimal control of a discrete age-structured model for tuberculosis transmission |
title_sort | optimal control of a discrete age-structured model for tuberculosis transmission |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940635/ https://www.ncbi.nlm.nih.gov/pubmed/31909242 http://dx.doi.org/10.1016/j.heliyon.2019.e03030 |
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