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A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China
We establish a dynamical model for tuberculosis of humans and cows. For the model, we firstly give the basic reproduction number R (0). Furthermore, we discuss the dynamical behaviors of the model. By epidemiological investigation of tuberculosis among humans and livestock from 2007 to 2014 in Urumq...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976259/ https://www.ncbi.nlm.nih.gov/pubmed/27525034 http://dx.doi.org/10.1155/2016/3410320 |
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author | Liu, Shan Li, Aiqiao Feng, Xiaomei Zhang, Xueliang Wang, Kai |
author_facet | Liu, Shan Li, Aiqiao Feng, Xiaomei Zhang, Xueliang Wang, Kai |
author_sort | Liu, Shan |
collection | PubMed |
description | We establish a dynamical model for tuberculosis of humans and cows. For the model, we firstly give the basic reproduction number R (0). Furthermore, we discuss the dynamical behaviors of the model. By epidemiological investigation of tuberculosis among humans and livestock from 2007 to 2014 in Urumqi, Xinjiang, China, we estimate the parameters of the model and study the transmission trend of the disease in Urumqi, Xinjiang, China. The reproduction number in Urumqi for the model is estimated to be 0.1811 (95% confidence interval: 0.123–0.281). Finally, we perform some sensitivity analysis of several model parameters and give some useful comments on controlling the transmission of tuberculosis. |
format | Online Article Text |
id | pubmed-4976259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49762592016-08-14 A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China Liu, Shan Li, Aiqiao Feng, Xiaomei Zhang, Xueliang Wang, Kai Comput Math Methods Med Research Article We establish a dynamical model for tuberculosis of humans and cows. For the model, we firstly give the basic reproduction number R (0). Furthermore, we discuss the dynamical behaviors of the model. By epidemiological investigation of tuberculosis among humans and livestock from 2007 to 2014 in Urumqi, Xinjiang, China, we estimate the parameters of the model and study the transmission trend of the disease in Urumqi, Xinjiang, China. The reproduction number in Urumqi for the model is estimated to be 0.1811 (95% confidence interval: 0.123–0.281). Finally, we perform some sensitivity analysis of several model parameters and give some useful comments on controlling the transmission of tuberculosis. Hindawi Publishing Corporation 2016 2016-07-25 /pmc/articles/PMC4976259/ /pubmed/27525034 http://dx.doi.org/10.1155/2016/3410320 Text en Copyright © 2016 Shan Liu et al. https://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 Liu, Shan Li, Aiqiao Feng, Xiaomei Zhang, Xueliang Wang, Kai A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China |
title | A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China |
title_full | A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China |
title_fullStr | A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China |
title_full_unstemmed | A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China |
title_short | A Dynamic Model of Human and Livestock Tuberculosis Spread and Control in Urumqi, Xinjiang, China |
title_sort | dynamic model of human and livestock tuberculosis spread and control in urumqi, xinjiang, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976259/ https://www.ncbi.nlm.nih.gov/pubmed/27525034 http://dx.doi.org/10.1155/2016/3410320 |
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