Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783582623946244096 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7493753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT caiyongli modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina AT zhaoshi modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina AT niuyun modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina AT pengzhihang modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina AT wangkai modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina AT hedaihai modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina AT wangweiming modellingtheeffectsofthecontaminatedenvironmentsontuberculosisinjiangsuchina |