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The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans

BACKGROUND: Tuberculosis (TB), a preventable and curable disease, is claimed as the second largest number of fatalities, and there are 9,025 cases reported in the United States in 2018. Many researchers have done a lot of research and achieved remarkable results, but TB is still a severe problem for...

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Autores principales: Wu, Yan, Huang, Meng, Wang, Ximei, Li, Yong, Jiang, Lei, Yuan, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385980/
https://www.ncbi.nlm.nih.gov/pubmed/32723305
http://dx.doi.org/10.1186/s12889-020-09260-w
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author Wu, Yan
Huang, Meng
Wang, Ximei
Li, Yong
Jiang, Lei
Yuan, Yuan
author_facet Wu, Yan
Huang, Meng
Wang, Ximei
Li, Yong
Jiang, Lei
Yuan, Yuan
author_sort Wu, Yan
collection PubMed
description BACKGROUND: Tuberculosis (TB), a preventable and curable disease, is claimed as the second largest number of fatalities, and there are 9,025 cases reported in the United States in 2018. Many researchers have done a lot of research and achieved remarkable results, but TB is still a severe problem for human beings. The study is a further exploration of the prevention and control of tuberculosis. METHODS: In the paper, we propose a new dynamic model to study the transmission dynamics of TB, and then use global differential evolution and local sequential quadratic programming (DESQP) optimization algorithm to estimate parameters of the model. Finally, we use Latin hypercube sampling (LHS) and partial rank correlation coefficients (PRCC) to analyze the influence of parameters on the basic reproduction number ([Formula: see text] ) and the total infectious (including the diagnosed, undiagnosed and incomplete treatment infectious), respectively. RESULTS: According to the research, the basic reproduction number is computed as 2.3597 from 1984 to 2018, which means TB is also an epidemic in the US. The diagnosed rate is 0.6082, which means the undiagnosed will be diagnosed after 1.6442 years. The diagnosed will recover after an average of 1.9912 years. Moreover, some diagnosed will end the treatment after 1.7550 years for some reason. From the study, it’s shown that 2.40% of the recovered will be reactivated, and 13.88% of the newborn will be vaccinated. However, the immune system will be lost after about 19.6078 years. CONCLUSION: Through the results of this study, we give some suggestions to help prevent and control the TB epidemic in the United States, such as prolonging the protection period of the vaccine by developing new and more effective vaccines to prevent TB; using the Chemoprophylaxis for incubation patients to prevent their conversion into active TB; raising people’s awareness of the prevention and control of TB and treatment after illness; isolating the infected to reduce the spread of TB. According to the latest report in the announcement that came at the first WHO Global Ministerial Conference on Ending tuberculosis in the Sustainable Development Era, we predict that it is challenging to control TB by 2030.
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spelling pubmed-73859802020-07-30 The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans Wu, Yan Huang, Meng Wang, Ximei Li, Yong Jiang, Lei Yuan, Yuan BMC Public Health Research Article BACKGROUND: Tuberculosis (TB), a preventable and curable disease, is claimed as the second largest number of fatalities, and there are 9,025 cases reported in the United States in 2018. Many researchers have done a lot of research and achieved remarkable results, but TB is still a severe problem for human beings. The study is a further exploration of the prevention and control of tuberculosis. METHODS: In the paper, we propose a new dynamic model to study the transmission dynamics of TB, and then use global differential evolution and local sequential quadratic programming (DESQP) optimization algorithm to estimate parameters of the model. Finally, we use Latin hypercube sampling (LHS) and partial rank correlation coefficients (PRCC) to analyze the influence of parameters on the basic reproduction number ([Formula: see text] ) and the total infectious (including the diagnosed, undiagnosed and incomplete treatment infectious), respectively. RESULTS: According to the research, the basic reproduction number is computed as 2.3597 from 1984 to 2018, which means TB is also an epidemic in the US. The diagnosed rate is 0.6082, which means the undiagnosed will be diagnosed after 1.6442 years. The diagnosed will recover after an average of 1.9912 years. Moreover, some diagnosed will end the treatment after 1.7550 years for some reason. From the study, it’s shown that 2.40% of the recovered will be reactivated, and 13.88% of the newborn will be vaccinated. However, the immune system will be lost after about 19.6078 years. CONCLUSION: Through the results of this study, we give some suggestions to help prevent and control the TB epidemic in the United States, such as prolonging the protection period of the vaccine by developing new and more effective vaccines to prevent TB; using the Chemoprophylaxis for incubation patients to prevent their conversion into active TB; raising people’s awareness of the prevention and control of TB and treatment after illness; isolating the infected to reduce the spread of TB. According to the latest report in the announcement that came at the first WHO Global Ministerial Conference on Ending tuberculosis in the Sustainable Development Era, we predict that it is challenging to control TB by 2030. BioMed Central 2020-07-28 /pmc/articles/PMC7385980/ /pubmed/32723305 http://dx.doi.org/10.1186/s12889-020-09260-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Wu, Yan
Huang, Meng
Wang, Ximei
Li, Yong
Jiang, Lei
Yuan, Yuan
The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans
title The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans
title_full The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans
title_fullStr The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans
title_full_unstemmed The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans
title_short The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans
title_sort prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of americans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385980/
https://www.ncbi.nlm.nih.gov/pubmed/32723305
http://dx.doi.org/10.1186/s12889-020-09260-w
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