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Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China

In order to analyze the spread of avian influenza A (H7N9), we construct an avian influenza transmission model from poultry (including poultry farm, backyard poultry farm, live-poultry wholesale market, and wet market) to human according to poultry transport network. We obtain the threshold value fo...

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Detalles Bibliográficos
Autores principales: Zhang, Juping, Jing, Wenjun, Zhang, Wenyi, Jin, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247641/
https://www.ncbi.nlm.nih.gov/pubmed/30532797
http://dx.doi.org/10.1155/2018/7383170
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author Zhang, Juping
Jing, Wenjun
Zhang, Wenyi
Jin, Zhen
author_facet Zhang, Juping
Jing, Wenjun
Zhang, Wenyi
Jin, Zhen
author_sort Zhang, Juping
collection PubMed
description In order to analyze the spread of avian influenza A (H7N9), we construct an avian influenza transmission model from poultry (including poultry farm, backyard poultry farm, live-poultry wholesale market, and wet market) to human according to poultry transport network. We obtain the threshold value for the prevalence of avian influenza A (H7N9) and also give the existence and number of the boundary equilibria and endemic equilibria in different conditions. We can see that poultry transport network plays an important role in controlling avian influenza A (H7N9). Finally, numerical simulations are presented to illustrate the effects of poultry in different places on avian influenza. In order to reduce human infections in China, our results suggest that closing the retail live-poultry market or preventing the poultry of backyard poultry farm into the live-poultry market is feasible in a suitable condition.
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spelling pubmed-62476412018-12-09 Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China Zhang, Juping Jing, Wenjun Zhang, Wenyi Jin, Zhen Comput Math Methods Med Research Article In order to analyze the spread of avian influenza A (H7N9), we construct an avian influenza transmission model from poultry (including poultry farm, backyard poultry farm, live-poultry wholesale market, and wet market) to human according to poultry transport network. We obtain the threshold value for the prevalence of avian influenza A (H7N9) and also give the existence and number of the boundary equilibria and endemic equilibria in different conditions. We can see that poultry transport network plays an important role in controlling avian influenza A (H7N9). Finally, numerical simulations are presented to illustrate the effects of poultry in different places on avian influenza. In order to reduce human infections in China, our results suggest that closing the retail live-poultry market or preventing the poultry of backyard poultry farm into the live-poultry market is feasible in a suitable condition. Hindawi 2018-11-04 /pmc/articles/PMC6247641/ /pubmed/30532797 http://dx.doi.org/10.1155/2018/7383170 Text en Copyright © 2018 Juping Zhang et al. http://creativecommons.org/licenses/by/4.0/ 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
Zhang, Juping
Jing, Wenjun
Zhang, Wenyi
Jin, Zhen
Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China
title Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China
title_full Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China
title_fullStr Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China
title_full_unstemmed Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China
title_short Avian Influenza A (H7N9) Model Based on Poultry Transport Network in China
title_sort avian influenza a (h7n9) model based on poultry transport network in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247641/
https://www.ncbi.nlm.nih.gov/pubmed/30532797
http://dx.doi.org/10.1155/2018/7383170
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