Cargando…
Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017
BACKGROUND: Internal migrants have an enormous impact on tuberculosis (TB) epidemic in China. Zhejiang Province, as one of the developed areas, also had a heavy burden caused by TB. METHODS: In this study, we collected all cases in Zhejiang Province through the TB Management Information System from...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805310/ https://www.ncbi.nlm.nih.gov/pubmed/35100983 http://dx.doi.org/10.1186/s12879-022-07071-5 |
_version_ | 1784643221121400832 |
---|---|
author | Liu, Kui Chen, Songhua Zhang, Yu Li, Tao Xie, Bo Wang, Wei Wang, Fei Peng, Ying Ai, Liyun Chen, Bin Wang, Xiaomeng Jiang, Jianmin |
author_facet | Liu, Kui Chen, Songhua Zhang, Yu Li, Tao Xie, Bo Wang, Wei Wang, Fei Peng, Ying Ai, Liyun Chen, Bin Wang, Xiaomeng Jiang, Jianmin |
author_sort | Liu, Kui |
collection | PubMed |
description | BACKGROUND: Internal migrants have an enormous impact on tuberculosis (TB) epidemic in China. Zhejiang Province, as one of the developed areas, also had a heavy burden caused by TB. METHODS: In this study, we collected all cases in Zhejiang Province through the TB Management Information System from 2013 to 2017. Description analysis and Spatio-temporal analysis using R software and ArcGIS were performed to identify the epidemiological characteristics and clusterings, respectively. RESULTS: 48,756 individuals in total were notified with TB among the migrant population (TBMP), accounting for one-third of all cases identified. The primary sources of TB from migrants outside the province were from Guizhou, Sichuan, and Anhui. Wenzhou, Taizhou, and Lishui were the three mainly outflowing cities among the intra-provincial TBMP and Hangzhou as the primarily inflowing city. Also, results implied that the inconsistency of the TBMP in spatial analysis and the border area of Quzhou and Lishui city had the highest risk of TB occurrence among the migrants. Additionally, one most likely cluster and four secondary clusters were identified by the spatial–temporal analysis. CONCLUSION: The effective control of TB in extra-provincial MP was critical to lowering the TB burden of MP in Zhejiang Province. Also, it is suggested that active TB screening for migrant employees outflowed from high epidemic regions should be strengthened, and further traceability analysis needs to be investigated to clarify the mechanism of TB transmission in clustered areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07071-5. |
format | Online Article Text |
id | pubmed-8805310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88053102022-02-03 Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 Liu, Kui Chen, Songhua Zhang, Yu Li, Tao Xie, Bo Wang, Wei Wang, Fei Peng, Ying Ai, Liyun Chen, Bin Wang, Xiaomeng Jiang, Jianmin BMC Infect Dis Research BACKGROUND: Internal migrants have an enormous impact on tuberculosis (TB) epidemic in China. Zhejiang Province, as one of the developed areas, also had a heavy burden caused by TB. METHODS: In this study, we collected all cases in Zhejiang Province through the TB Management Information System from 2013 to 2017. Description analysis and Spatio-temporal analysis using R software and ArcGIS were performed to identify the epidemiological characteristics and clusterings, respectively. RESULTS: 48,756 individuals in total were notified with TB among the migrant population (TBMP), accounting for one-third of all cases identified. The primary sources of TB from migrants outside the province were from Guizhou, Sichuan, and Anhui. Wenzhou, Taizhou, and Lishui were the three mainly outflowing cities among the intra-provincial TBMP and Hangzhou as the primarily inflowing city. Also, results implied that the inconsistency of the TBMP in spatial analysis and the border area of Quzhou and Lishui city had the highest risk of TB occurrence among the migrants. Additionally, one most likely cluster and four secondary clusters were identified by the spatial–temporal analysis. CONCLUSION: The effective control of TB in extra-provincial MP was critical to lowering the TB burden of MP in Zhejiang Province. Also, it is suggested that active TB screening for migrant employees outflowed from high epidemic regions should be strengthened, and further traceability analysis needs to be investigated to clarify the mechanism of TB transmission in clustered areas. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07071-5. BioMed Central 2022-01-31 /pmc/articles/PMC8805310/ /pubmed/35100983 http://dx.doi.org/10.1186/s12879-022-07071-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Liu, Kui Chen, Songhua Zhang, Yu Li, Tao Xie, Bo Wang, Wei Wang, Fei Peng, Ying Ai, Liyun Chen, Bin Wang, Xiaomeng Jiang, Jianmin Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 |
title | Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 |
title_full | Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 |
title_fullStr | Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 |
title_full_unstemmed | Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 |
title_short | Tuberculosis burden caused by migrant population in Eastern China: evidence from notification records in Zhejiang Province during 2013–2017 |
title_sort | tuberculosis burden caused by migrant population in eastern china: evidence from notification records in zhejiang province during 2013–2017 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805310/ https://www.ncbi.nlm.nih.gov/pubmed/35100983 http://dx.doi.org/10.1186/s12879-022-07071-5 |
work_keys_str_mv | AT liukui tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT chensonghua tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT zhangyu tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT litao tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT xiebo tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT wangwei tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT wangfei tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT pengying tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT ailiyun tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT chenbin tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT wangxiaomeng tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 AT jiangjianmin tuberculosisburdencausedbymigrantpopulationineasternchinaevidencefromnotificationrecordsinzhejiangprovinceduring20132017 |