Cargando…

Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China

BACKGROUND: The current prevalence of tuberculosis (TB) in the People's Republic of China (P. R. China) demonstrates geographical heterogeneities, which show that the TB prevalence in the remote areas of Western China is more serious than that in the coastal plain of Eastern China. Although a l...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xin-Xu, Wang, Li-Xia, Zhang, Juan, Liu, Yun-Xia, Zhang, Hui, Jiang, Shi-Wen, Chen, Jia-Xu, Zhou, Xiao-Nong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057787/
https://www.ncbi.nlm.nih.gov/pubmed/24929074
http://dx.doi.org/10.3402/gha.v7.23620
_version_ 1782321032855552000
author Li, Xin-Xu
Wang, Li-Xia
Zhang, Juan
Liu, Yun-Xia
Zhang, Hui
Jiang, Shi-Wen
Chen, Jia-Xu
Zhou, Xiao-Nong
author_facet Li, Xin-Xu
Wang, Li-Xia
Zhang, Juan
Liu, Yun-Xia
Zhang, Hui
Jiang, Shi-Wen
Chen, Jia-Xu
Zhou, Xiao-Nong
author_sort Li, Xin-Xu
collection PubMed
description BACKGROUND: The current prevalence of tuberculosis (TB) in the People's Republic of China (P. R. China) demonstrates geographical heterogeneities, which show that the TB prevalence in the remote areas of Western China is more serious than that in the coastal plain of Eastern China. Although a lot of ecological studies have been applied in the exploration on the regional difference of disease risks, there is still a paucity of ecological studies on TB prevalence in P. R. China. OBJECTIVE: To understand the underlying factors contributing to the regional inequity of TB burden in P. R. China by using an ecological approach and, thus, aiming to provide a basis to eliminate the TB spatial heterogeneity in the near future. DESIGN: Latent ecological variables were identified by using exploratory factor analysis from data obtained from four sources, i.e. the databases of the National TB Control Programme (2001–2010) in P. R. China, the China Health Statistical Yearbook during 2002–2011, the China Statistical Yearbook during 2002–2011, and the provincial government websites in 2013. Partial least squares path modelling was chosen to construct the structural equation model to evaluate the relationship between TB prevalence and ecological variables. Furthermore, a geographically weighted regression model was used to explore the local spatial heterogeneity in the relationships. RESULTS: The latent ecological variables in terms of ‘TB prevalence’, ‘TB investment’, ‘TB service’, ‘health investment’, ‘health level’, ‘economic level’, ‘air quality’, ‘climatic factor’ and ‘geographic factor’ were identified. With the exception of TB service and health levels, other ecological factors had explicit and significant impacts on TB prevalence to varying degrees. Additionally, each ecological factor had different impacts on TB prevalence in different regions significantly. CONCLUSION: Ecological factors that were found predictive of TB prevalence in P. R. China are essential to take into account in the formulation of locally comprehensive strategies and interventions aiming to tailor the TB control and prevention programme into local settings in each ecozone.
format Online
Article
Text
id pubmed-4057787
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Co-Action Publishing
record_format MEDLINE/PubMed
spelling pubmed-40577872014-06-23 Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China Li, Xin-Xu Wang, Li-Xia Zhang, Juan Liu, Yun-Xia Zhang, Hui Jiang, Shi-Wen Chen, Jia-Xu Zhou, Xiao-Nong Glob Health Action Original Article BACKGROUND: The current prevalence of tuberculosis (TB) in the People's Republic of China (P. R. China) demonstrates geographical heterogeneities, which show that the TB prevalence in the remote areas of Western China is more serious than that in the coastal plain of Eastern China. Although a lot of ecological studies have been applied in the exploration on the regional difference of disease risks, there is still a paucity of ecological studies on TB prevalence in P. R. China. OBJECTIVE: To understand the underlying factors contributing to the regional inequity of TB burden in P. R. China by using an ecological approach and, thus, aiming to provide a basis to eliminate the TB spatial heterogeneity in the near future. DESIGN: Latent ecological variables were identified by using exploratory factor analysis from data obtained from four sources, i.e. the databases of the National TB Control Programme (2001–2010) in P. R. China, the China Health Statistical Yearbook during 2002–2011, the China Statistical Yearbook during 2002–2011, and the provincial government websites in 2013. Partial least squares path modelling was chosen to construct the structural equation model to evaluate the relationship between TB prevalence and ecological variables. Furthermore, a geographically weighted regression model was used to explore the local spatial heterogeneity in the relationships. RESULTS: The latent ecological variables in terms of ‘TB prevalence’, ‘TB investment’, ‘TB service’, ‘health investment’, ‘health level’, ‘economic level’, ‘air quality’, ‘climatic factor’ and ‘geographic factor’ were identified. With the exception of TB service and health levels, other ecological factors had explicit and significant impacts on TB prevalence to varying degrees. Additionally, each ecological factor had different impacts on TB prevalence in different regions significantly. CONCLUSION: Ecological factors that were found predictive of TB prevalence in P. R. China are essential to take into account in the formulation of locally comprehensive strategies and interventions aiming to tailor the TB control and prevention programme into local settings in each ecozone. Co-Action Publishing 2014-06-12 /pmc/articles/PMC4057787/ /pubmed/24929074 http://dx.doi.org/10.3402/gha.v7.23620 Text en © 2014 Xin-Xu Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Li, Xin-Xu
Wang, Li-Xia
Zhang, Juan
Liu, Yun-Xia
Zhang, Hui
Jiang, Shi-Wen
Chen, Jia-Xu
Zhou, Xiao-Nong
Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China
title Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China
title_full Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China
title_fullStr Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China
title_full_unstemmed Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China
title_short Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China
title_sort exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in p. r. china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057787/
https://www.ncbi.nlm.nih.gov/pubmed/24929074
http://dx.doi.org/10.3402/gha.v7.23620
work_keys_str_mv AT lixinxu explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT wanglixia explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT zhangjuan explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT liuyunxia explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT zhanghui explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT jiangshiwen explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT chenjiaxu explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina
AT zhouxiaonong explorationofecologicalfactorsrelatedtothespatialheterogeneityoftuberculosisprevalenceinprchina