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Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China

Tuberculosis (TB) is still an important public health issue in Jiangsu province, China. In this study, based on the TB transmission routes and the statistical data of TB cases, we formulate a novel TB epidemic model accounting for the effects of the contaminated environments on TB transmission dynam...

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Detalles Bibliográficos
Autores principales: Cai, Yongli, Zhao, Shi, Niu, Yun, Peng, Zhihang, Wang, Kai, He, Daihai, Wang, Weiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493753/
https://www.ncbi.nlm.nih.gov/pubmed/32949588
http://dx.doi.org/10.1016/j.jtbi.2020.110453
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author Cai, Yongli
Zhao, Shi
Niu, Yun
Peng, Zhihang
Wang, Kai
He, Daihai
Wang, Weiming
author_facet Cai, Yongli
Zhao, Shi
Niu, Yun
Peng, Zhihang
Wang, Kai
He, Daihai
Wang, Weiming
author_sort Cai, Yongli
collection PubMed
description Tuberculosis (TB) is still an important public health issue in Jiangsu province, China. In this study, based on the TB transmission routes and the statistical data of TB cases, we formulate a novel TB epidemic model accounting for the effects of the contaminated environments on TB transmission dynamics. The value of this study lies in two aspects. Mathematically, we define the basic reproduction number, [Formula: see text] , and prove that [Formula: see text] can be used to govern the threshold dynamics of the model. Epidemiologically, we find that the annual average [Formula: see text] is [Formula: see text] and TB in Jiangsu is an endemic disease. Therefore, in order to control the TB in Jiangsu efficiently, we must decrease the virus shedding rate or increase the recovery rates, and increase the environmental clearance rate.
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spelling pubmed-74937532020-09-17 Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China Cai, Yongli Zhao, Shi Niu, Yun Peng, Zhihang Wang, Kai He, Daihai Wang, Weiming J Theor Biol Article Tuberculosis (TB) is still an important public health issue in Jiangsu province, China. In this study, based on the TB transmission routes and the statistical data of TB cases, we formulate a novel TB epidemic model accounting for the effects of the contaminated environments on TB transmission dynamics. The value of this study lies in two aspects. Mathematically, we define the basic reproduction number, [Formula: see text] , and prove that [Formula: see text] can be used to govern the threshold dynamics of the model. Epidemiologically, we find that the annual average [Formula: see text] is [Formula: see text] and TB in Jiangsu is an endemic disease. Therefore, in order to control the TB in Jiangsu efficiently, we must decrease the virus shedding rate or increase the recovery rates, and increase the environmental clearance rate. Elsevier Ltd. 2021-01-07 2020-09-16 /pmc/articles/PMC7493753/ /pubmed/32949588 http://dx.doi.org/10.1016/j.jtbi.2020.110453 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Cai, Yongli
Zhao, Shi
Niu, Yun
Peng, Zhihang
Wang, Kai
He, Daihai
Wang, Weiming
Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China
title Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China
title_full Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China
title_fullStr Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China
title_full_unstemmed Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China
title_short Modelling the effects of the contaminated environments on tuberculosis in Jiangsu, China
title_sort modelling the effects of the contaminated environments on tuberculosis in jiangsu, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493753/
https://www.ncbi.nlm.nih.gov/pubmed/32949588
http://dx.doi.org/10.1016/j.jtbi.2020.110453
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