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...

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Main Authors: Fatmawati, Utami Dyah Purwati, Firman Riyudha, Hengki Tasman
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844019366897
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spelling doaj-17c866c802464766b5d31e50a11c59b62020-11-25T03:32:07ZengElsevierHeliyon2405-84402020-01-0161e03030Optimal control of a discrete age-structured model for tuberculosis transmission Fatmawati0Utami Dyah Purwati1Firman Riyudha2Hengki Tasman3Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, Indonesia; Corresponding author.Department of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, IndonesiaDepartment of Mathematics, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, IndonesiaDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, IndonesiaIn 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.http://www.sciencedirect.com/science/article/pii/S2405844019366897Applied mathematicsComputational mathematicsEpidemiologySystems biologySystems theoryTuberculosis
collection DOAJ
language English
format Article
sources DOAJ
author Fatmawati
Utami Dyah Purwati
Firman Riyudha
Hengki Tasman
spellingShingle Fatmawati
Utami Dyah Purwati
Firman Riyudha
Hengki Tasman
Optimal control of a discrete age-structured model for tuberculosis transmission
Heliyon
Applied mathematics
Computational mathematics
Epidemiology
Systems biology
Systems theory
Tuberculosis
author_facet Fatmawati
Utami Dyah Purwati
Firman Riyudha
Hengki Tasman
author_sort Fatmawati
title 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_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_sort optimal control of a discrete age-structured model for tuberculosis transmission
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2020-01-01
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.
topic Applied mathematics
Computational mathematics
Epidemiology
Systems biology
Systems theory
Tuberculosis
url http://www.sciencedirect.com/science/article/pii/S2405844019366897
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