摘要
目的分析2004—2019年新疆肺结核病人群分布特征,为确定结核病预防和控制重点人群提供依据。方法采用描述流行病学方法,分析2004—2019年新疆传染病信息管理系统报告的数据资料,将肺结核病病例按年龄、性别和职业分析人群分布特征。结果 2004—2019年新疆共登记报告肺结核病668 753例,死亡3 990人;男性病例多于女性,男女性别比为1.18∶1;病例数居前五位的依次为65岁~组、60岁~组、70岁~组、55岁~组和50岁~组,85岁及以上组年均报告发病率最高(1 493.03/10万);患病人数中占比最多的职业为农民、家务/待业人员、离退休人员和学生。结论新疆应将农村作为结核病重点防治地区,以老年人和学生为重点防治对象;今后应加大农村结核病的防治力度、早防早治,遏制结核病的流行与蔓延。
Objective To analyze the characteristics of population distribution of pulmonary tuberculosis in Xinjiang from 2004 to 2019,so as to provide the basis for determining the key population of tuberculosis prevention and control.Methods The reported data of patients with pulmonary tuberculosis from Xinjiang Information Management System of Infectious Diseases were analyzed as age,gender and occupation with the descriptively epidemiological methods in Xinjiang from 2004 to 2019.Results Totally 668753 cases were registered in Xinjiang from 2004 to 2019,with 3990 deaths.The male cases were more than the females,with the ratio of male to female of 1.18∶1.The age groups of 65 years-,60 years-,70 years-,55 years-and 50 years-were the top 5 as the number of cases.The average reported incidence rate was the highest in the age group of 85 years and over(1493.03/100000).Out of the occupations,farmers,the housework/unemployed,retired people and students accounted for the most of all cases.Conclusions The control and prevention of tuberculosis should be carried out by taking countryside as the key area,the elder population and students as the key objects in Xinjiang.In the future,the prevention and control of tuberculosis should be strengthened in countryside by early prevention and treatment to stop the epidemic and spread of tuberculosis.
作者
郑强
王新旗
王静
阿斯亚·哈帕尔
冯玉明
ZHENG Qiang;WANG Xin-qi;WANG Jing;Asiya HAPAR;FENG Yu-ming(The Center for Disease Control and Prevention of Xingjiang Uygur Autonomous Region,Urumqi,Xinjiang 830002,China)
出处
《疾病预防控制通报》
2020年第5期36-40,共5页
Bulletin of Disease Control & Prevention(China)
关键词
结核病
网络直报
人群分布
流行病学
Tuberculosis
Direct network report
Population distribution
Epidemiology
