Spatial-temporal clustering of pulmonary tuberculosis in Zhangjiajie City from 2016 to 2024
LIU Lu1, LU Hui2, WANG Pingfang1, QIN Yunpeng1, WU Xiaoqian1, LIU Bo2, ZHANG Wen2, LI Ao1, FENG Hongyan2
1. School of Medicine and Life Sciences, Zhangjiajie College, Zhangjiajie, Hunan 427000, China; 2. Zhangjiajie Center for Disease Control and Prevention, Zhangjiajie, Hunan 427000, China
Abstract：Objective To analyze the spatial-temporal clustering characteristics of pulmonary tuberculosis (PTB) in Zhangjiajie City, Hunan Province from 2016 to 2024, so as to provide a basis for formulating regional PTB prevention and control strategies. Methods Data of reported PTB cases in Zhangjiajie City from 2016 to 2024 were collected from the Tuberculosis Surveillance System of China Disease Prevention and Control Information System, and the reported incidence of PTB was analyzed. Joinpoint regression model was used to analyze the trend in reported incidence of PTB from 2016 to 2024. With township (subdistrict) as the basic spatial unit, global and local spatial autocorrelation and hotspot analysis were used to analyze the spatial distribution characteristics of PTB, and spatial-temporal scan analysis was used to identify spatial-temporal clustering characteristics. Results A total of 14 176 PTB cases were reported in Zhangjiajie City from 2016 to 2024, with an average annual reported incidence of 104.42/105, showing an overall downward trend (AAPC=-5.005%, P<0.05). Global spatial autocorrelation analysis showed that except for 2021-2022, the reported incidence of PTB showed positive spatial correlation in other years, with Moran's I values ranging from 0.134 to 0.306 (all P<0.05). Local spatial autocorrelation analysis and hotspot analysis showed that high-high clusters and hotspot areas from 2016 to 2024 were concentrated in Badagongshan Town, Longtanping Town, Chenjiahe Town, Shanghexi Township, and Liaojiacun Township of Sangzhi County, and Yinjiaxi Township and Luoshui Township of Yongding District. Spatial-temporal scan analysis showed that Class Ⅰ cluster was located in the northwest, centered on Badagongshan Town, covering 13 townships in Sangzhi County, with clustering period spanning from 2017 to 2020. The Class Ⅱ cluster was located in the southwest, centered on Maoyanhe Town, covering 7 townships in Yongding District, with clustering period spanning from 2020 to 2023. Conclusions The reported incidence of PTB in Zhangjiajie City from 2016 to 2024 showed an overall downward trend. The spatial-temporal clusters shifted from the northwest of Sangzhi County to the southwest of Yongding District.
刘露, 卢辉, 王苹芳, 覃云鹏, 吴晓倩, 刘波, 张稳, 李澳, 冯鸿燕. 2016—2024年张家界市肺结核时空聚集性分析[J]. 预防医学, 2026, 38(8): 819-823.
LIU Lu, LU Hui, WANG Pingfang, QIN Yunpeng, WU Xiaoqian, LIU Bo, ZHANG Wen, LI Ao, FENG Hongyan. Spatial-temporal clustering of pulmonary tuberculosis in Zhangjiajie City from 2016 to 2024. Preventive Medicine, 2026, 38(8): 819-823.
[1] Trajman A,Campbell J R,Kunor T,et al.Tuberculosis[J].Lancet,2025,405(10481):850-866. [2] World Health Organization.Global tuberculosis report 2024[R/OL].[2026-07-29].https://publichealthupdate.com/global-tuberculosis-report-2024. [3] 中华人民共和国中央人民政府.关于印发《全国结核病防治规划(2024—2030年)》的通知[EB/OL].[2026-07-29]. https://www.gov.cn/zhengce/zhengceku/202412/content_6991217.htm. [4] 王前,李涛,杜昕,等.2015—2019年全国肺结核报告发病情况分析[J].中国防痨杂志,2021,43(2):107-112. [5] 湖南省卫生健康委员会.湖南省法定传染病疫情概况[EB/OL].[2026-07-29].https://wjw.hunan.gov.cn/wjw/xxgk/yqsj/index.html. [6] Huang G J,Xu Z H,Bai L Q,et al.Spatiotemporal analysis of tuberculosis in the Hunan Province,China,2014-2022[J/OL].Front Public Health,2024,12[2026-07-29].https://doi.org/10.3389/fpubh.2024.1426503. [7] 龚德华,谭文倩,万燕萍,等.2014—2023年湖南省肺结核报告发病流行特征及变化趋势分析[C]//第36届中国防痨协会全国学术大会暨第五届中国防痨科技奖颁奖大会论文汇编.北京:中国防痨协会,2025:243-253. [8] 张家界市人民政府.张家界市情简介[EB/OL].[2026-07-29].https://www.zjj.gov.cn/c5/20250217/i986395.html. [9] 凌红,汪娜,宋琴,等.2009—2023年黄浦区肺结核流行特征和时空聚集性分析[J].预防医学,2025,37(9):937-940. [10] Zhang K X,Yang Z K,Sun J M,et al.Spatiotemporal analysis of pulmonary tuberculosis in the central region of the Zhejiang Province,China(2016-2024)[J/OL].Front Public Health,2025,13[2026-07-29].https://doi.org/10.3389/fpubh.2025.1599274. [11] Yilihamu Y,Zhou P Y,Yuemaier N,et al.Epidemic trend and spatial-temporal analysis of pulmonary tuberculosis in Hotan prefecture,Xinjiang,China,2015-2021[J/OL].Sci Rep,2025,15(1)[2026-07-29].https://doi.org/10.1038/s41598-025-19880-0. [12] 宋媛媛,李涛,夏辉,等.1997—2023年全国肺结核报告发病流行病学特征[J].中国防痨杂志,2024,46(10):1198-1208. [13] 马晓雪,周建,王大福,等.2016—2023年贵州省肺结核流行特征及空间聚集分析[J].现代预防医学,2025,52(4):597-602. [14] 蒋扬莹,楼赟,王方鲁,等.2014—2024年诸暨市老年人群肺结核流行特征和时空聚集性分析[J].预防医学,2026,38(3):222-225,230. [15] 崔馨禄,陈成江,李卫霞,等.2018—2022年海南岛肺结核时空聚集性分析[J].海南医科大学学报,2025,31(21):1601-1609. [16] 谭文倩,万燕萍,张苏蕾,等.2023年湖南省肺结核流行特征及空间聚集性分析[J].实用预防医学,2025,32(1):15-19. [17] 刘旷怡. 湖北省肺结核空间分布特征及影响因素研究[D].西宁:青海大学,2023:60-61. [18] 永定区人民政府.2024年张家界市永定区统计公报[EB/OL].[2026-07-29].http://www.zjjyd.gov.cn/c4897/20250709/ i1086857.html. [19] 张文倩,黄飞,张国钦,等.2011—2022年天津市肺结核时空分布特征分析[J].中国防痨杂志,2023,45(12):1170-1176.
