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The analysis of a drug transmission model with family education and public health education

In this paper, we formulate a six dimensional drug transmission model to study the effect of family education and public health education. The dynamical behaviors of the model are discussed in terms of the basic reproduction number [Formula: see text]. By constructing Lyapunov functions, we obtain t...

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Detalles Bibliográficos
Autores principales: Li, Jun, Ma, Mingju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326221/
https://www.ncbi.nlm.nih.gov/pubmed/30839926
http://dx.doi.org/10.1016/j.idm.2018.03.007
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author Li, Jun
Ma, Mingju
author_facet Li, Jun
Ma, Mingju
author_sort Li, Jun
collection PubMed
description In this paper, we formulate a six dimensional drug transmission model to study the effect of family education and public health education. The dynamical behaviors of the model are discussed in terms of the basic reproduction number [Formula: see text]. By constructing Lyapunov functions, we obtain the drug-free equilibrium is globally asymptotically stable if [Formula: see text] and the drug addiction equilibrium is globally asymptotically stable if [Formula: see text]. Sensitivity analyses are performed to seek for effective control measures for drug spread. The analysis show that both the family and public health education can influence the spread of drug transmission. However, the combination of family and public health education is more effective to reduce the prevalence of drugs. Some numerical simulations are given to confirm the obtained theoretical results.
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spelling pubmed-63262212019-01-18 The analysis of a drug transmission model with family education and public health education Li, Jun Ma, Mingju Infect Dis Model Original Research Article In this paper, we formulate a six dimensional drug transmission model to study the effect of family education and public health education. The dynamical behaviors of the model are discussed in terms of the basic reproduction number [Formula: see text]. By constructing Lyapunov functions, we obtain the drug-free equilibrium is globally asymptotically stable if [Formula: see text] and the drug addiction equilibrium is globally asymptotically stable if [Formula: see text]. Sensitivity analyses are performed to seek for effective control measures for drug spread. The analysis show that both the family and public health education can influence the spread of drug transmission. However, the combination of family and public health education is more effective to reduce the prevalence of drugs. Some numerical simulations are given to confirm the obtained theoretical results. KeAi Publishing 2018-04-05 /pmc/articles/PMC6326221/ /pubmed/30839926 http://dx.doi.org/10.1016/j.idm.2018.03.007 Text en © 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., 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 Original Research Article
Li, Jun
Ma, Mingju
The analysis of a drug transmission model with family education and public health education
title The analysis of a drug transmission model with family education and public health education
title_full The analysis of a drug transmission model with family education and public health education
title_fullStr The analysis of a drug transmission model with family education and public health education
title_full_unstemmed The analysis of a drug transmission model with family education and public health education
title_short The analysis of a drug transmission model with family education and public health education
title_sort analysis of a drug transmission model with family education and public health education
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326221/
https://www.ncbi.nlm.nih.gov/pubmed/30839926
http://dx.doi.org/10.1016/j.idm.2018.03.007
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