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Optimal Campaign in the Smoking Dynamics

We present the optimal campaigns in the smoking dynamics. Assuming that the giving up smoking model is described by the simplified PLSQ (potential-light-smoker-quit smoker) model, we consider two possible control variables in the form of education and treatment campaigns oriented to decrease the att...

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Detalles Bibliográficos
Autor principal: Zaman, Gul
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043466/
https://www.ncbi.nlm.nih.gov/pubmed/21461044
http://dx.doi.org/10.1155/2011/163834
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author Zaman, Gul
author_facet Zaman, Gul
author_sort Zaman, Gul
collection PubMed
description We present the optimal campaigns in the smoking dynamics. Assuming that the giving up smoking model is described by the simplified PLSQ (potential-light-smoker-quit smoker) model, we consider two possible control variables in the form of education and treatment campaigns oriented to decrease the attitude towards smoking. In order to do this we minimize the number of light (occasional) and persistent smokers and maximize the number of quit smokers in a community. We first show the existence of an optimal control for the control problem and then derive the optimality system by using the Pontryagin maximum principle. Finally numerical results of real epidemic are presented to show the applicability and efficiency of this approach.
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spelling pubmed-30434662011-03-31 Optimal Campaign in the Smoking Dynamics Zaman, Gul Comput Math Methods Med Research Article We present the optimal campaigns in the smoking dynamics. Assuming that the giving up smoking model is described by the simplified PLSQ (potential-light-smoker-quit smoker) model, we consider two possible control variables in the form of education and treatment campaigns oriented to decrease the attitude towards smoking. In order to do this we minimize the number of light (occasional) and persistent smokers and maximize the number of quit smokers in a community. We first show the existence of an optimal control for the control problem and then derive the optimality system by using the Pontryagin maximum principle. Finally numerical results of real epidemic are presented to show the applicability and efficiency of this approach. Hindawi Publishing Corporation 2011 2011-02-15 /pmc/articles/PMC3043466/ /pubmed/21461044 http://dx.doi.org/10.1155/2011/163834 Text en Copyright © 2011 Gul Zaman. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zaman, Gul
Optimal Campaign in the Smoking Dynamics
title Optimal Campaign in the Smoking Dynamics
title_full Optimal Campaign in the Smoking Dynamics
title_fullStr Optimal Campaign in the Smoking Dynamics
title_full_unstemmed Optimal Campaign in the Smoking Dynamics
title_short Optimal Campaign in the Smoking Dynamics
title_sort optimal campaign in the smoking dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043466/
https://www.ncbi.nlm.nih.gov/pubmed/21461044
http://dx.doi.org/10.1155/2011/163834
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