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长沙市2013—2016年肺结核流行特征及时空聚集性分析
引用本文:谢赐福,许林勇,王孝君,熊姿,宋丽新. 长沙市2013—2016年肺结核流行特征及时空聚集性分析[J]. 中南大学学报(医学版), 2018, 43(8): 898-903. DOI: 10.11817/j.issn.1672-7347.2018.08.013
作者姓名:谢赐福  许林勇  王孝君  熊姿  宋丽新
作者单位:1. 中南大学湘雅公共卫生学院流行病与卫生统计学系,长沙 410078;2. 长沙市疾病预防控制中心结核病防治科,长沙 410004
摘    要:目的:分析2013—2016年长沙市肺结核的流行特征和时空聚集性。方法:采用描述性分析和时空重排扫描统计分析长沙市2013—2016年肺结核报告病例数据。结果:2013—2016年长沙市累计报告肺结核患者17 721例,年均报告发病率为60.87/10万。病例多集中在15~<60岁年龄组,男性高于女性,且每年3~5月为报告高峰期。时空重排扫描统计共发现1个最可能聚集区和2个次要聚集区。其中,最可能聚集区覆盖浏阳市大部分地区和长沙县东北部,聚集时间为2013年10月1日—2014年2月28日;次要聚集区1包括开福区、长沙县的12个乡镇(街道),聚集时间为2016年12月1日—12月31日;次要聚集区2包括雨花区、天心区的4个乡镇(街道),聚集时间为2013年3月1日—9月30日。结论:2013—2016年长沙市肺结核病例存在明显的时空聚集区域,研究结果可为区域性肺结核防控策略的制订提供参考。

关 键 词:肺结核  空间分析  时空聚集  

Epidemiological characteristics and spatial-temporal clustering analysis on pulmonary tuberculosis in Changsha from 2013 to 2016
XIE Cifu,XU Linyong,WANG Xiaojun,XIONG Zi,SONG Lixin. Epidemiological characteristics and spatial-temporal clustering analysis on pulmonary tuberculosis in Changsha from 2013 to 2016[J]. Journal of Central South University. Medical sciences, 2018, 43(8): 898-903. DOI: 10.11817/j.issn.1672-7347.2018.08.013
Authors:XIE Cifu  XU Linyong  WANG Xiaojun  XIONG Zi  SONG Lixin
Affiliation:1. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078; 2. Department of Tuberculosis, Changsha Center for Disease Control and Prevention, Changsha 410004, China
Abstract:Objective: To analyze the epidemic characteristics and to explore the spatial-temporal clusters ofpulmonary tuberculosis (PTB) in Changsha from 2013 to 2016.Methods: Descriptive analysis and space-time permutation scan statistic were used to analyze thereported PTB cases in Changsha from 2013 to 2016.Results: Between 2013 and 2016, a total of 17 721 PTB cases were reported in Changsha, withannual reported incidence rate at 60.87 per 100 000 population. Males and individuals aged 15to <60 years accounted for higher proportion of PTB cases compared to females and other agegroups. The number of reported PTB cases reached peak from March to May in each year. Thespace-time permutation scan statistic identified one most likely cluster and two secondary clustersof PTB cases. The most likely cluster covered most areas of Liuyang City and the North-east part ofChangsha County from October 1, 2013 to February 28, 2014. The first cluster occupied 12 towns(streets) in Kaifu District and Changsha County in December 2016. The second cluster includedfour towns (streets) in Yuhua District and Tianxin District from March 1 to September 30, in 2013.Conclusion: Between 2013 and 2016, significant space-time clusters of PTB cases were identifiedin Changsha. These findings could provide a guide for development of regional interventionstrategies for PTB control.
Keywords:pulmonary tuberculosis  spatial analysis  spatial-temporal clustering  
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