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Impact of media coverage on the drinking dynamics in the scale-free network

A binge drinking model with the impact of media in the scale-free network is proposed. The basic reproduction number [Formula: see text] is derived by the next generation matrix method. Stability of the alcohol free equilibrium is proved by the comparison theorem. Existence and uniqueness of the alc...

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Autores principales: Huo, Hai-Feng, Wang, Yan-Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769717/
https://www.ncbi.nlm.nih.gov/pubmed/27026900
http://dx.doi.org/10.1186/s40064-016-1790-8
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author Huo, Hai-Feng
Wang, Yan-Yan
author_facet Huo, Hai-Feng
Wang, Yan-Yan
author_sort Huo, Hai-Feng
collection PubMed
description A binge drinking model with the impact of media in the scale-free network is proposed. The basic reproduction number [Formula: see text] is derived by the next generation matrix method. Stability of the alcohol free equilibrium is proved by the comparison theorem. Existence and uniqueness of the alcohol present equilibrium is also obtained. Furthermore, the permanence of the system and the influence of media coverage on the drinking dynamics are studied, and the difference between our model on heterogeneous and homogeneous networks is also discussed. Numerical simulations are presented to illustrate our theoretical results. Our results show that media coverage does not change the value of [Formula: see text] but it is an effective measure in reducing alcohol problems.
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spelling pubmed-47697172016-03-29 Impact of media coverage on the drinking dynamics in the scale-free network Huo, Hai-Feng Wang, Yan-Yan Springerplus Research A binge drinking model with the impact of media in the scale-free network is proposed. The basic reproduction number [Formula: see text] is derived by the next generation matrix method. Stability of the alcohol free equilibrium is proved by the comparison theorem. Existence and uniqueness of the alcohol present equilibrium is also obtained. Furthermore, the permanence of the system and the influence of media coverage on the drinking dynamics are studied, and the difference between our model on heterogeneous and homogeneous networks is also discussed. Numerical simulations are presented to illustrate our theoretical results. Our results show that media coverage does not change the value of [Formula: see text] but it is an effective measure in reducing alcohol problems. Springer International Publishing 2016-02-27 /pmc/articles/PMC4769717/ /pubmed/27026900 http://dx.doi.org/10.1186/s40064-016-1790-8 Text en © Huo and Wang. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Huo, Hai-Feng
Wang, Yan-Yan
Impact of media coverage on the drinking dynamics in the scale-free network
title Impact of media coverage on the drinking dynamics in the scale-free network
title_full Impact of media coverage on the drinking dynamics in the scale-free network
title_fullStr Impact of media coverage on the drinking dynamics in the scale-free network
title_full_unstemmed Impact of media coverage on the drinking dynamics in the scale-free network
title_short Impact of media coverage on the drinking dynamics in the scale-free network
title_sort impact of media coverage on the drinking dynamics in the scale-free network
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769717/
https://www.ncbi.nlm.nih.gov/pubmed/27026900
http://dx.doi.org/10.1186/s40064-016-1790-8
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