ArticleScientific reports2024
Analysis of the epidemiological characteristics and influencing factors of tuberculosis among students in a large province of China, 2008-2018.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distribution of Mycobacterium Tuberculosis Lineages and Sublineages by Drug Profile in Ethiopia: A Systematic Review and Meta-Analysis.Journal of epidemiology and global health · 2025Pooled it
- County-Level Hotspot Identification and Spatial Regression Analysis of Health Loss from Kashin-Beck Disease - China, 2019 and 2023.China CDC weekly · 2025Article
- Molecular and Transmission Characteristics ofInfection and drug resistance · 2025Article
- The role of expanded close contact screening in the tuberculosis outbreak at a school in China.Frontiers in public health · 2025Article
- Transmissibility and control of tuberculosis in school outbreaks: a modeling study based on four outbreaks in China.BMC infectious diseases · 2024Article
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Authors and funding
13 authors.
Funding
Abstract
This study examines tuberculosis (TB) incidence among students in Jilin Province, China, focusing on spatial, temporal, and demographic dynamics in areas of social inequality. Variation in incidence rate of TB was analyzed using the joinpoint regression method. Spatial analyses techniques included the global and local Moran indices and Getis-Ord Gi* analysis. Demographic changes in new cases were analyzed descriptively, and the Geodetector method measured the influence of risk factors on student TB incidence. The analysis revealed a declining trend in TB cases, particularly among male students. TB incidence showed geographical heterogeneity, with lower rates in underdeveloped rural areas compared to urban regions. Significant spatial correlations were observed, with high-high clusters forming in central Jilin Province. Hotspots of student TB transmission were primarily concentrated in the southwestern and central regions from 2008 to 2018. Socio-economic factors exhibited nonlinear enhancement effects on incidence rates, with a dominant bifactor effect. High-risk zones were predominantly located in urban centers, with university and high school students showing higher incidences than other educational stages. The study revealed economic determinants as being especially important in affecting TB incidence among students, with these factors having nonlinear interacting effects on student TB incidence.
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