结核病与肺部健康杂志 ›› 2019, Vol. 8 ›› Issue (2): 100-105.doi: 10.3969/j.issn.2095-3755.2019.02.006

• 论著 • 上一篇    下一篇

2014—2018年广州市海珠区登记结核病患者流行病学特征分析

蔡晓婷1(),杜雨华1,钟静1,何刚1,江坤洪1   

  1. 1. 510095 广州市胸科医院第二门诊部管治科
  • 收稿日期:2019-03-08 出版日期:2019-06-30 发布日期:2019-07-10

Epidemiological characteristics of tuberculosis patients in Haizhu District of Guangzhou from 2014 to 2018

Xiao-ting CAI1(),Yu-hua DU1,Jing ZHONG1,Gang HE1,Kun-hong JIANG1   

  1. 1. Division of Governance, the Second Department of Outpatient, Guangzhou Chest Hospital, Guangzhou 510095, China
  • Received:2019-03-08 Online:2019-06-30 Published:2019-07-10

摘要:

目的 了解2014—2018年广州市海珠区结核病患者流行特征,为制定结核病防治措施提供依据。方法 以2014—2018年《中国疾病预防控制信息系统》的子系统《结核病管理信息系统》(简称“《专报系统》”)中登记的广州市海珠区6555例结核病患者为研究对象,对2014—2018年海珠区结核病年均登记发病情况、不同时间和地区登记患者分布情况,以及人群特征进行统计分析。结果 2014—2018年广州市海珠区共登记结核病患者6555例,年均登记发病率为79.86/10万(6555/8208100),其中户籍人口结核病患者共3529例,年均登记发病率为68.77/10万(3529/5131400),非户籍人口结核病患者共3026例,年均登记发病率为98.35/10万(3026/3076700)。2014—2018年全区平均登记率分别为93.70/10万(1499/1599800)、85.08/10万(1373/1613700)、82.85/10万(1357/1637900)、73.12/10万(1216/1663100)、65.54/10万(1110/1693600),呈下降趋势( χ 趋势 2 =96.33,P=0.000)。2014—2018年海珠区结核病以4月和9月登记患者例数较多,分别为631例(9.63%,631/6555)和605例(9.23%,605/6555)。全区各街道均有登记患者,最高为南洲街,年平均登记率为136.99/10万(754/550411);最低为南石头街,年平均登记率为57.26/10万(336/586848)。全区男性患者4545例,女性患者2010例,男∶女=2.3∶1;全区结核病患者以25~34岁年龄组为主,占21.88%(1434/6555),但户籍人口以55~64岁年龄组为主,占21.82%(770/3529);职业分布全区以家务及待业患者最高,占45.98%(3014/6555)。结论 2014—2018年广州市海珠区结核病疫情呈逐年下降趋势,疫情控制工作取得一定的成效,男性、25~34岁年龄组、南洲街、家务及待业人群是结核病防治的重点人群。

关键词: 结核, 肺, 发病率, 流行病学研究特征(主题), 因素分析, 统计学, 小地区分析

Abstract:

Objective To understand the epidemic characteristics of tuberculosis (TB) patients in Haizhu District of Guangzhou from 2014 to 2018, so as to provide basis for the formulation of TB control measures.Methods Data of 6555 TB patients registered in Haizhu District of Guangzhou from 2014 to 2018 were collected from sub-system of China Disease Prevention and Control Information system - Tuberculosis Management Information System (Referred to as “Special Report System”). Descriptive epidemiological method was used to analyze the average annual registration rate, distribution of TB patient in different time and regions.Results A total of 6555 TB patients were registered from 2014 to 2018, the average annual registration rate was 79.86/100000 (6555/8208100), and that for household registered population and non-household registered population were 68.77/100000 (3529/5131400) and 98.35/100000 (3026/3076700) with 3529 and 3026 TB patients registered respectively. The registration rates from 2014-2018 were 93.70/100000 (1499/1599800), 85.08/100000 (1373/1613700), 82.85/100000 (1357/1637900), 73.12/100000 (1216/1663100) and 65.54/100000 (1110/1693600), which presented a tendency of decrease (χ 2=96.33, P=0.000). Patients were registered in each month, among which the numbers of patients registered in April and September were more, which was 631 (9.63%, 631/6555) and 605 (9.23%, 605/6555), respectively. All the streets in the district had registered patients, and the highest was Nanzhou Street with the average annual registration rate of 136.99/100000 (754/550411), and the lowest was Nanshitou Street with the average annual registration rate of 57.26/100000 (336/586848). There were 4545 male patients and 2010 female patients in the district, with a male-female ratio of 2.3∶1. The majority of TB patients were aged 25-34 years, accounting for 21.88% (1434/6555). However, the registration rate of 55-64 years age group was the highest for household registered population, accounting for 21.82% (770/3529). The highest occupational distribution was among the housework and unemployed patients, accounting for 45.98% (3014/6555).Conclusion From 2014 to 2018, the epidemic of TB in Haizhu District of Guangzhou shows a declining trend year by year, and the epidemic control has achieved certain results. Male, 25-34 years old age group, Nanzhou Street, household and unemployed people are the key groups of TB prevention and control in the future.

Key words: Tuberculosis, pulmonary, Incidence, Epidemiologic study characteristics as topic, Factor analysis, statistical, Small-area analysis