State Key Laboratory of Vaccines for Infectious Disease, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Intergration in Vaccine Research, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People's Republic of China.
Jilin Scientific Research Institute of Tuberculosis Control, Changchun City, Jilin Province, People's Republic of China.
Sci Rep. 2024 Sep 3;14(1):20472. doi: 10.1038/s41598-024-71720-9.
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.
本研究考察了中国吉林省学生中的结核病(TB)发病率,重点关注社会不平等地区的空间、时间和人口动态。使用 joinpoint 回归方法分析了结核病发病率的变化。空间分析技术包括全局和局部 Moran 指数以及 Getis-Ord Gi* 分析。用描述性方法分析新发病例的人口统计学变化,并用地理探测器方法衡量危险因素对学生结核病发病率的影响。分析结果表明,结核病病例呈下降趋势,尤其是男性学生。结核病发病率存在地理异质性,欠发达的农村地区发病率低于城市地区。观察到显著的空间相关性,高-高聚类形成于吉林省中部。学生结核病传播的热点主要集中在 2008 年至 2018 年期间的西南部和中部地区。社会经济因素对发病率表现出非线性增强效应,具有主导的双因子效应。高风险区域主要位于城市中心,与其他教育阶段相比,大学和高中生的发病率更高。研究表明,经济决定因素对学生结核病发病率的影响尤为重要,这些因素对学生结核病发病率具有非线性的相互作用。