ArticleBMC infectious diseases2020
Spatio-temporal analysis of socio-economic characteristics for pulmonary tuberculosis in Sichuan province of China, 2006-2015.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- A novel time-series modeling framework for predicting tuberculosis incidence in Sichuan, China.BMC infectious diseases · 2026Article
- The impact of modifiable social determinants on tuberculosis incidence: insights from a Bayesian spatiotemporal and counterfactual analysis.BMC public health · 2026Article
- Spatial neighborhood patterns of pulmonary tuberculosis in a large urban area: the case of Santiago, Chile.Scientific reports · 2026Article
- Impact of policy shifts and festival holidays on tuberculosis surveillance: a time-series analysis in Southwest China (2014-2024).Frontiers in public health · 2026Article
- Comprehensive Spatial Investigation of Tuberculosis Dynamics and Affecting Factors in Şanlıurfa, Türkiye (2016-2023).GeoHealth · 2025Article
- Spatiotemporal hotspot analysis of tuberculosis lost to follow-up cases in Ghana: A district-level study from 2019-2023.PloS one · 2025Article
- Factors affecting the incidence of pulmonary tuberculosis based on the GTWR model in China, 2004-2021.Epidemiology and infection · 2024Article
- Trends in tuberculosis mortality among older adults in China, 2004-2021: a Joinpoint regression and age-period-cohort analysis.Frontiers in public health · 2024Article
- The Environmental and Socioeconomic Effects and Prediction of Patients With Tuberculosis in Different Age Groups in Southwest China: A Population-Based Study.JMIR public health and surveillance · 2023Article
- Spatio-temporal distribution of tuberculosis and the effects of environmental factors in China.BMC infectious diseases · 2022Article
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10 authors at 3 institutions in 1 country.
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Abstract
backgroundThe disease burden caused by pulmonary tuberculosis (TB) in Sichuan province still persisted at a high level, and large spatial variances were presented across regional distribution disparities. The socio-economic factors were suspected to affect the population of TB notification, we aimed to describe TB case notification rate (CNR) and identify which factors influence TB epidemic are necessary for the prevention and control of the disease in Sichuan province.
methodsA retrospective cross-sectional study and an ecological spatial analysis was conducted to quantify the presence and location of spatial clusters of TB by the Moran's I index and examined these patterns with socio-economic risk factors by hierarchical Bayesian spatio-temporal model.
resultsA total of 630,009 pulmonary TB cases were notified from 2006 to 2015 in 181 counties of Sichuan province. The CNR decreased year by year since 2007, from 88.70 to 61.37 per 100,000 persons. The spatial heterogeneities of CNR were observed during the study periods. Global Moran's I index varied from 0.23 to 0.44 with all P-value < 0.001. The Bayesian spatio-temporal model with parametric spatio-temporal interactions was chosen as the best model according to the minimum of Deviance Information Criterion (DIC)(19,379.01), and in which the quadratic form of time was taken. The proportion of age group and education year were all associated with CNR after adjusting the spatial effect, temporal effect and spatio-temporal interactions. TB CNR increased by 10.2% [95% credible interval (CI): 6.7-13.7%] for every 1-standard-deviation increase in proportion of age group and decreased by 23% (95% CI: 13.7-32.7%) for every 1-standard-deviation increase in education year.
conclusionsThere were spatial clusters of TB notification rate in Sichuan province from 2006 to 2015, and heavy TB burden was mainly attributed to aging and low socioeconomic status including poor education. Thus, it is more important to pay more attention to the elderly population and improve socioeconomic status including promoting education level in Sichuan province to reduce the TB burden.
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