摘要
目的 本研究旨在了解2015—2019年云南省蒙自市肺结核发病的流行特征和空间分布特征。方法 从中国疾病预防控制信息系统中收集2015—2019年蒙自市的报告肺结核病例,采用描述性统计方法分析三间分布,采用空间统计软件分析肺结核发病的空间相关性。结果 2015—2019年蒙自市共报告肺结核901例。肺结核报告发病率随年龄增加呈上升趋势(P<0.01),50~74岁男性、彝族和农民发病比例较高,报告发病高峰在春秋季节。Lisa聚类图显示,肺结核高发聚集区主要集中在蒙自市东北地区的鸣鹫镇,低发聚集区为文澜镇;涂阳肺结核无高发聚集区。结论 2015—2019年蒙自市肺结核处于较低流行水平,50~74岁男性、彝族和农民为重点防控人群,春秋季节为重点防控时间,蒙自市东北地区为重点防控区域。
Objective To understand the epidemiological features and spatial distribution characteristics of tuberculosis in Mengzi city of Yunnan from 2015 to 2019.Methods Data of tuberculosis cases reported in Mengzi city from 2015 to 2019 were obtained from China Disease Control and Prevention Information System.Descriptive epidemiological methods were employed to analyze the distribution of tuberculosis and spatial statistical software was used to analyze the spatial correlation of tuberculosis.Results 901 cases of tuberculosis were reported in Mengzi city from 2015 to 2019.The reported incidence of tuberculosis increased with age(P<0.01).The incidences were higher in males aged 50-74 years,among residents with Yi nationality and in farmers.The reported cases peaked in spring and autumn.Lisa cluster map showed that the high incidence of tuberculosis was found in Mingjiu Town in the northeast of Mengzi city,while the low incidence was in Wenlan Town located in the northwest.There is no High-High cluster area of sputum smear positive tuberculosis.Conclusions During 2015 and 2019,the incidence of tuberculosis in Mengzi city is at a low level.Male residents aged 50-70 years and those with Yi nationality as well as farmers are more vulnerable to tuberculosis.Most cases appear in spring and autumn and in the northeast areas of Mengzi city.
作者
王建娇
刘小宁
杨家外
景正朝
WANG Jian-jiao;LIU Xiao-ning;YANG Jia-wai;JING Zheng-chao(Institution of Health Statistics and Epidemiology,School of Public Health Lanzhou University,Lanzhou,Gansu 730000,China;不详)
出处
《中国预防医学杂志》
CAS
CSCD
北大核心
2022年第3期224-230,共7页
Chinese Preventive Medicine
关键词
肺结核
流行病学分析
空间自相关
空间分布
Pulmonary tuberculosis
Epidemiological analysis
Spatial autocorrelation
Spatial distribution
