摘要
目的:探讨2004至2021年中国肺结核发病的流行趋势和空间分布特征,为制定区域化肺结核防治措施提供参考。方法:通过公共卫生科学数据中心和《中国卫生健康统计年鉴》收集2004至2021年肺结核发病数据资料,应用空间自相关及冷热点分析等方法分析肺结核流行趋势和空间聚集特征。结果:2004至2021年,中国肺结核发病总体呈现逐年下降趋势,空间上呈西高东低、南高北低的态势。全局Moran′s I指数从2005年的0.262逐年增大,2020年达到最大值0.522。局部空间自相关分析结果显示,2004至2008年四川、贵州、湖南、广西等地呈“高-高”聚集特征,2009至2011年西藏和广西呈“高-高”聚集特征,2012至2019年西藏和新疆呈“高-高”聚集特征,2020至2021年,除新疆和西藏外,云南和广西也呈现“高-高”聚集特征。2004至2021年“低-低”聚集集中在华北和华东地区。中国肺结核年均发病率热点区域为新疆、西藏和云南;冷点区域有北京、河北、山东、江苏等15个。结论:中国肺结核发病率不断下降,但空间聚集特征显著,应加强对新疆、西藏等热点区域的卫生资源配置。
Aim:To explore incidence trend and spatial distribution characteristic of pulmonary tuberculosis in China from 2004 to 2021 and to provide evidence for formulating regional pulmonary tuberculosis prevention and control measures.Methods:Data on incidences of pulmonary tuberculosis from 2004 to 2021 were extracted from the Public Health Science Data Center and"Chinese Healthy Statistical Yearbook".Spatial auto-correlation analysis and hot-cold spots analysis were used to explore epidemic trend and spatial clustering characteristic of pulmonary tuberculosis in China.Results:The overall incidence rate of pulmonary tuberculosis in China presented a decreasing trend year by year.In space,the regional incidence rates showed a trend with higher rate in the western regions,lower rate in the eastern regions,higher rate in the southern regions and lower rate in the northern regions.Global Moran′s I coefficient increased year by year from 0.262 in 2005 and reached the maximum value of 0.522 in 2020.Local spatial auto-correlation analysis results showed that"high-high"clustering characteristic was identified in Sichuan,Guizhou,Hunan,Guangxi Zhuang Autonomous Region(Guangxi)and other regions from 2004 to 2008;"high-high"clustering characteristic was just found in Xizang Autonomous Region(Xizang)and Guangxi between 2009 and 2011;"high-high"clustering characteristic was recognized in Xizang and Xinjiang Uygur Autonomous Region(Xinjiang)between 2012 and 2019;Except Xinjiang and Xizang,Yunnan and Guangxi appeared"high-high"clustering characteristic from 2020 to 2021;"low-low"clustering characteristic was concentrated in North and East China from 2004 to 2021.The hot spots for the average annual incidence of pulmonary tuberculosis were observed in Xinjiang,Xizang and Yunnan,whereas the cold spots were observed in 15 regions,mainly distributing in Beijing,Hebei,Shandong,Jiangsu and other places.Conclusions:Though the incidence of pulmonary tuberculosis is continuously declining in China,spatial clustering characteristics become si
作者
余海茹
闫晔鑫
杨娇
张惠
陈秋缘
牛卫理
叶鹏
孙亮
YU Hairu;YAN Yexin;YANG Jiao;ZHANG Hui;CHEN Qiuyuan;NIU Weili;YE Peng;SUN Liang(Department of Social Medicine and Health Care Management,College of Public Health,Zhengzhou University,Zhengzhou 450001;Department of Infected Disease,Infectious Disease Hospital of Hebi City,Hebi,Henan 458000)
出处
《郑州大学学报（医学版）》
CAS
北大核心
2024年第2期274-279,共6页
Journal of Zhengzhou University(Medical Sciences)
关键词
肺结核
发病率
空间分布
聚集特征
pulmonary tuberculosis
incidence
spatial distribution
clustering characteristic
