Cargando…

An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018

INTRODUCTION: Tuberculosis is one of the main infectious diseases threatening global health, which is also the main cause of death from a single source of infection (above HIV/AIDS). China is a country with a high burden of tuberculosis in the world, ranking only behind India and Indonesia. However,...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Qianyun, Song, Wanmei, Liu, Siqi, An, Qiqi, Tao, Ningning, Zhu, Xuehan, Yang, Dongmei, Wan, Daoxia, Li, Yifan, Li, Huaichen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804159/
https://www.ncbi.nlm.nih.gov/pubmed/35118041
http://dx.doi.org/10.3389/fpubh.2021.766362
_version_ 1784643012156981248
author Zhang, Qianyun
Song, Wanmei
Liu, Siqi
An, Qiqi
Tao, Ningning
Zhu, Xuehan
Yang, Dongmei
Wan, Daoxia
Li, Yifan
Li, Huaichen
author_facet Zhang, Qianyun
Song, Wanmei
Liu, Siqi
An, Qiqi
Tao, Ningning
Zhu, Xuehan
Yang, Dongmei
Wan, Daoxia
Li, Yifan
Li, Huaichen
author_sort Zhang, Qianyun
collection PubMed
description INTRODUCTION: Tuberculosis is one of the main infectious diseases threatening global health, which is also the main cause of death from a single source of infection (above HIV/AIDS). China is a country with a high burden of tuberculosis in the world, ranking only behind India and Indonesia. However, there are few ecological studies on the burden of tuberculosis in China. This study aims to provide more research basis for the government to formulate tuberculosis policies by exploring the ecological factors associated with the incidence of tuberculosis, so as to achieve the goal of eliminating tuberculosis by 2030. METHODS: We collected data on the incidence of tuberculosis and ecological factors of 31 provinces, autonomous regions, and municipalities in Mainland China (excluding Taiwan, Hong Kong, and Macau) from 2002 to 2018. We constructed a framework of ecological factors affecting the incidence, which consists of 5 secondary indicators and 35 tertiary indicators. And we construct a dynamic panel data model based on the Lasso Regression to select variables to test the effect of each ecological factor on the incidence. RESULTS: Among the 35 tertiary indicators, economy 3,4,6,7, environment 1, recourses 1,3, demography 3, and lifecare 2,4,8,9,13 passed the significance test at the 1% level, economy 1,2,5, environment 2,9, lifecare 6,12 passed the significance test at the 5% level, lifecare 10 passed the significance test at the 10% level. Only economy 5 and economy 6 have a positive impact on the incidence, other statistically significant ecological indicators are negatively correlated with the incidence. CONCLUSIONS: Our study indicated that many ecological factors, including residents' income, unemployment rate, educational level, medical resources, population density, sunshine duration and dietary structure, are closely related to the incidence of tuberculosis. These findings contribute the government to taking targeted measures for tuberculosis prevention and control, including improving the level of economic development, increasing employment, expanding the scale of enrollment in colleges and universities, and ensuring that the prices of sources of animal protein are reasonable to meet the residents' intake of protein.
format Online
Article
Text
id pubmed-8804159
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88041592022-02-02 An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018 Zhang, Qianyun Song, Wanmei Liu, Siqi An, Qiqi Tao, Ningning Zhu, Xuehan Yang, Dongmei Wan, Daoxia Li, Yifan Li, Huaichen Front Public Health Public Health INTRODUCTION: Tuberculosis is one of the main infectious diseases threatening global health, which is also the main cause of death from a single source of infection (above HIV/AIDS). China is a country with a high burden of tuberculosis in the world, ranking only behind India and Indonesia. However, there are few ecological studies on the burden of tuberculosis in China. This study aims to provide more research basis for the government to formulate tuberculosis policies by exploring the ecological factors associated with the incidence of tuberculosis, so as to achieve the goal of eliminating tuberculosis by 2030. METHODS: We collected data on the incidence of tuberculosis and ecological factors of 31 provinces, autonomous regions, and municipalities in Mainland China (excluding Taiwan, Hong Kong, and Macau) from 2002 to 2018. We constructed a framework of ecological factors affecting the incidence, which consists of 5 secondary indicators and 35 tertiary indicators. And we construct a dynamic panel data model based on the Lasso Regression to select variables to test the effect of each ecological factor on the incidence. RESULTS: Among the 35 tertiary indicators, economy 3,4,6,7, environment 1, recourses 1,3, demography 3, and lifecare 2,4,8,9,13 passed the significance test at the 1% level, economy 1,2,5, environment 2,9, lifecare 6,12 passed the significance test at the 5% level, lifecare 10 passed the significance test at the 10% level. Only economy 5 and economy 6 have a positive impact on the incidence, other statistically significant ecological indicators are negatively correlated with the incidence. CONCLUSIONS: Our study indicated that many ecological factors, including residents' income, unemployment rate, educational level, medical resources, population density, sunshine duration and dietary structure, are closely related to the incidence of tuberculosis. These findings contribute the government to taking targeted measures for tuberculosis prevention and control, including improving the level of economic development, increasing employment, expanding the scale of enrollment in colleges and universities, and ensuring that the prices of sources of animal protein are reasonable to meet the residents' intake of protein. Frontiers Media S.A. 2022-01-18 /pmc/articles/PMC8804159/ /pubmed/35118041 http://dx.doi.org/10.3389/fpubh.2021.766362 Text en Copyright © 2022 Zhang, Song, Liu, An, Tao, Zhu, Yang, Wan, Li and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Zhang, Qianyun
Song, Wanmei
Liu, Siqi
An, Qiqi
Tao, Ningning
Zhu, Xuehan
Yang, Dongmei
Wan, Daoxia
Li, Yifan
Li, Huaichen
An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018
title An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018
title_full An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018
title_fullStr An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018
title_full_unstemmed An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018
title_short An Ecological Study of Tuberculosis Incidence in China, From 2002 to 2018
title_sort ecological study of tuberculosis incidence in china, from 2002 to 2018
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804159/
https://www.ncbi.nlm.nih.gov/pubmed/35118041
http://dx.doi.org/10.3389/fpubh.2021.766362
work_keys_str_mv AT zhangqianyun anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT songwanmei anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT liusiqi anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT anqiqi anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT taoningning anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT zhuxuehan anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT yangdongmei anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT wandaoxia anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT liyifan anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT lihuaichen anecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT zhangqianyun ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT songwanmei ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT liusiqi ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT anqiqi ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT taoningning ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT zhuxuehan ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT yangdongmei ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT wandaoxia ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT liyifan ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018
AT lihuaichen ecologicalstudyoftuberculosisincidenceinchinafrom2002to2018