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Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018

BACKGROUND: This study was aimed to investigate the epidemiological characteristic of pulmonary tuberculosis (PTB) in Haidian District, Beijing from 2005 to 2018 and to provide suggestions for controlling tuberculosis (TB) development. METHODS: Epidemiological data about TB were obtained by the Infe...

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Autores principales: Wu, Fan, Lai, Caiyun, Wang, Yan, Zhang, Gaoqiang, Li, Yueqi, Yu, Susu, Peng, Xinyue, Yang, Jiani, Wei, Zhisheng, Zhang, Wenjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266129/
https://www.ncbi.nlm.nih.gov/pubmed/32487108
http://dx.doi.org/10.1186/s12889-020-08773-8
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author Wu, Fan
Lai, Caiyun
Wang, Yan
Zhang, Gaoqiang
Li, Yueqi
Yu, Susu
Peng, Xinyue
Yang, Jiani
Wei, Zhisheng
Zhang, Wenjuan
author_facet Wu, Fan
Lai, Caiyun
Wang, Yan
Zhang, Gaoqiang
Li, Yueqi
Yu, Susu
Peng, Xinyue
Yang, Jiani
Wei, Zhisheng
Zhang, Wenjuan
author_sort Wu, Fan
collection PubMed
description BACKGROUND: This study was aimed to investigate the epidemiological characteristic of pulmonary tuberculosis (PTB) in Haidian District, Beijing from 2005 to 2018 and to provide suggestions for controlling tuberculosis (TB) development. METHODS: Epidemiological data about TB were obtained by the Infectious Disease Reporting System at different levels of medical institutions in Haidian District of Beijing from 2005 to 2018. The epidemiological methods combined with χ(2) test were used to analyze the distribution of TB in population, time, region and TB diagnosis. RESULTS: In total, 14,449 cases of TB patients were reported in Haidian District from 2005 to 2018 and the average annual morbidity was 31.67/10,000. Of the total cases, housework and unemployed people (20.73%; 2996/14,449) accounted for the highest proportion of occupational distribution, followed by students, accounting for 17.18% (2482/14,449). 2433 patients with the age of 65 years and over accounting for 16.83% (2433/14,449); Laboratory confirmed diagnosis of TB was 26.60% and the diagnostic delays accounted for 54.96%. CONCLUSIONS: From 2005 to 2018, TB incidence was falling gradually in Haidian District. However, particular attention should be paid to the elderly and student groups, and the policy publicity and education should be strengthened to reduce the diagnosis delay of TB.
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spelling pubmed-72661292020-06-02 Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018 Wu, Fan Lai, Caiyun Wang, Yan Zhang, Gaoqiang Li, Yueqi Yu, Susu Peng, Xinyue Yang, Jiani Wei, Zhisheng Zhang, Wenjuan BMC Public Health Research Article BACKGROUND: This study was aimed to investigate the epidemiological characteristic of pulmonary tuberculosis (PTB) in Haidian District, Beijing from 2005 to 2018 and to provide suggestions for controlling tuberculosis (TB) development. METHODS: Epidemiological data about TB were obtained by the Infectious Disease Reporting System at different levels of medical institutions in Haidian District of Beijing from 2005 to 2018. The epidemiological methods combined with χ(2) test were used to analyze the distribution of TB in population, time, region and TB diagnosis. RESULTS: In total, 14,449 cases of TB patients were reported in Haidian District from 2005 to 2018 and the average annual morbidity was 31.67/10,000. Of the total cases, housework and unemployed people (20.73%; 2996/14,449) accounted for the highest proportion of occupational distribution, followed by students, accounting for 17.18% (2482/14,449). 2433 patients with the age of 65 years and over accounting for 16.83% (2433/14,449); Laboratory confirmed diagnosis of TB was 26.60% and the diagnostic delays accounted for 54.96%. CONCLUSIONS: From 2005 to 2018, TB incidence was falling gradually in Haidian District. However, particular attention should be paid to the elderly and student groups, and the policy publicity and education should be strengthened to reduce the diagnosis delay of TB. BioMed Central 2020-06-01 /pmc/articles/PMC7266129/ /pubmed/32487108 http://dx.doi.org/10.1186/s12889-020-08773-8 Text en © The Author(s) 2020 Open AccessThis 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, Fan
Lai, Caiyun
Wang, Yan
Zhang, Gaoqiang
Li, Yueqi
Yu, Susu
Peng, Xinyue
Yang, Jiani
Wei, Zhisheng
Zhang, Wenjuan
Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018
title Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018
title_full Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018
title_fullStr Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018
title_full_unstemmed Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018
title_short Tuberculosis infection and epidemiological characteristics in Haidian District, Beijing, 2005–2018
title_sort tuberculosis infection and epidemiological characteristics in haidian district, beijing, 2005–2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266129/
https://www.ncbi.nlm.nih.gov/pubmed/32487108
http://dx.doi.org/10.1186/s12889-020-08773-8
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