Spatiotemporal epidemiology of, and factors associated with, the tuberculosis prevalence in northern China, 2010–2014

Abstract Background Tuberculosis (TB) is an important public health issue worldwide. However, evidence concerning the impact of environmental factors on TB is sparse. We performed a retrospective analysis to determine the spatiotemporal trends and geographic variations of, and the factors associated with, the TB prevalence in Inner Mongolia. Methods We performed a retrospective analysis of the epidemiology of TB. A Bayesian spatiotemporal model was used to investigate the spatiotemporal distribution and trends of the TB prevalence. A spatial panel data model was used to identify factors associated with the TB prevalence in the 101 counties of Inner Mongolia, using county-level aggregated data collected by the Inner Mongolia Center for Disease Control and Prevention. Results From January 2010 to December 2014, 79,466 (6.36‱) incident TB cases were recorded. The TB prevalence ranged from 4.97‱ (12,515/25,167,547) in 2014 to 7.49‱ (18,406/ 24,578,678) in 2010; the majority of TB cases were in males, and in those aged 46–60 years; by occupation, farmers and herdsmen were the most frequently affected. The Bayesian spatiotemporal model showed that the overall TB prevalence decreased linearly from 2010 to 2014 and occupation-stratified analyses yielded similar results, corroborating the reliability of the findings. The decrease of TB prevalence in the central-western and eastern regions was more rapid than that in the overall TB prevalence. A spatial correlation analysis showed spatial clustering of the TB prevalence from 2011 to 2014 (Moran’s index > 0, P

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PID https://www.doi.org/10.6084/m9.figshare.c.4489727
PID https://www.doi.org/10.6084/m9.figshare.c.4489727.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4489727.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4489727
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Author Xuemei Wang
Author Shaohua Yin
Author Yunpeng Li
Author Wenrui Wang
Author Maolin Du
Author Weidong Guo
Author Mingming Xue
Author Wu, Jing
Author Danyan Liang
Author Ruiqi Wang
Author Liu, Dan
Author Chu, Di
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Collected From Datacite
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Publication Date 2019-01-01
Publisher Figshare
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Language UNKNOWN
Resource Type Collection
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
keyword FOS: Earth and related environmental sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::d785823dd2a3110560844138a97c20fe
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Last Updated 20 December 2020, 03:44 (CET)
Created 20 December 2020, 03:44 (CET)