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The impact of the COVID-19 epidemic on tuberculosis control in China
BACKGROUND: In response to the COVID-19 epidemic, China implemented a series of interventions that impacted tuberculosis (TB) control in the country. METHODS: Based on routine surveillance data and questionnaires, the study analyzed TB notification, follow-up examinations, and treatment outcomes. Th...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511841/ https://www.ncbi.nlm.nih.gov/pubmed/34173601 http://dx.doi.org/10.1016/j.lanwpc.2020.100032 |
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author | Fei, Huang Yinyin, Xia Hui, Chen Ni, Wang Xin, Du Wei, Chen Tao, Li Shitong, Huan Miaomiao, Sun Mingting, Chen Keshavjee, Salmaan Yanlin, Zhao Chin, Daniel P. Jianjun, Liu |
author_facet | Fei, Huang Yinyin, Xia Hui, Chen Ni, Wang Xin, Du Wei, Chen Tao, Li Shitong, Huan Miaomiao, Sun Mingting, Chen Keshavjee, Salmaan Yanlin, Zhao Chin, Daniel P. Jianjun, Liu |
author_sort | Fei, Huang |
collection | PubMed |
description | BACKGROUND: In response to the COVID-19 epidemic, China implemented a series of interventions that impacted tuberculosis (TB) control in the country. METHODS: Based on routine surveillance data and questionnaires, the study analyzed TB notification, follow-up examinations, and treatment outcomes. The data were split into three phases in relation to outbreak, lockdown and reopen when the nationwide COVID-19 response started in 2020: control (11 weeks prior), intensive (11 weeks during and immediately after), and regular (4 additional weeks). Data from 2017–2019 were used as baseline. FINDINGS: The notified number of TB patients decreased sharply in the 1(st) week of the intensive period but took significantly longer to rebound in 2020 compared with baseline. The percentages of TB patients undergoing sputum examination within one week after 2 months treatment and full treatment course in the intensive period were most affected and decreased by 8% in comparison with control period. 75•2% (221/294) of counties reallocated CDC and primary health care workers to fight the COVID-19 epidemic, 26•9% (725/2694) of TB patients had postponed or missed their follow-up examinations due to travel restrictions and fear of contracting COVID-19. INTERPRETATION: In the short term, the COVID-19 epidemic mostly affected TB notification and follow-up examinations in China, which may lead to a surge of demand for TB services in the near future. To cope with this future challenge, an emergency response mechanism for TB should be established. FUNDING: National Health Commission of China–Bill & Melinda Gates Foundation TB Collaboration project (OPP1137180). |
format | Online Article Text |
id | pubmed-7511841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75118412020-09-24 The impact of the COVID-19 epidemic on tuberculosis control in China Fei, Huang Yinyin, Xia Hui, Chen Ni, Wang Xin, Du Wei, Chen Tao, Li Shitong, Huan Miaomiao, Sun Mingting, Chen Keshavjee, Salmaan Yanlin, Zhao Chin, Daniel P. Jianjun, Liu Lancet Reg Health West Pac Research Paper BACKGROUND: In response to the COVID-19 epidemic, China implemented a series of interventions that impacted tuberculosis (TB) control in the country. METHODS: Based on routine surveillance data and questionnaires, the study analyzed TB notification, follow-up examinations, and treatment outcomes. The data were split into three phases in relation to outbreak, lockdown and reopen when the nationwide COVID-19 response started in 2020: control (11 weeks prior), intensive (11 weeks during and immediately after), and regular (4 additional weeks). Data from 2017–2019 were used as baseline. FINDINGS: The notified number of TB patients decreased sharply in the 1(st) week of the intensive period but took significantly longer to rebound in 2020 compared with baseline. The percentages of TB patients undergoing sputum examination within one week after 2 months treatment and full treatment course in the intensive period were most affected and decreased by 8% in comparison with control period. 75•2% (221/294) of counties reallocated CDC and primary health care workers to fight the COVID-19 epidemic, 26•9% (725/2694) of TB patients had postponed or missed their follow-up examinations due to travel restrictions and fear of contracting COVID-19. INTERPRETATION: In the short term, the COVID-19 epidemic mostly affected TB notification and follow-up examinations in China, which may lead to a surge of demand for TB services in the near future. To cope with this future challenge, an emergency response mechanism for TB should be established. FUNDING: National Health Commission of China–Bill & Melinda Gates Foundation TB Collaboration project (OPP1137180). Elsevier 2020-09-24 /pmc/articles/PMC7511841/ /pubmed/34173601 http://dx.doi.org/10.1016/j.lanwpc.2020.100032 Text en © 2020 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Fei, Huang Yinyin, Xia Hui, Chen Ni, Wang Xin, Du Wei, Chen Tao, Li Shitong, Huan Miaomiao, Sun Mingting, Chen Keshavjee, Salmaan Yanlin, Zhao Chin, Daniel P. Jianjun, Liu The impact of the COVID-19 epidemic on tuberculosis control in China |
title | The impact of the COVID-19 epidemic on tuberculosis control in China |
title_full | The impact of the COVID-19 epidemic on tuberculosis control in China |
title_fullStr | The impact of the COVID-19 epidemic on tuberculosis control in China |
title_full_unstemmed | The impact of the COVID-19 epidemic on tuberculosis control in China |
title_short | The impact of the COVID-19 epidemic on tuberculosis control in China |
title_sort | impact of the covid-19 epidemic on tuberculosis control in china |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511841/ https://www.ncbi.nlm.nih.gov/pubmed/34173601 http://dx.doi.org/10.1016/j.lanwpc.2020.100032 |
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