2004-2015年安徽省甲型病毒性肝炎时空流行特征分析  被引量:8

Spatio-temporal epidemiological characteristics analysis of hepatitis A in Anhui Province from 2004 to 2015

在线阅读下载全文

作  者:唐继海[1] 苏颖[1] 柴瑜[1] 

机构地区:[1]安徽省疾病预防控制中心,安徽合肥230601

出  处:《现代预防医学》2017年第18期3270-3273,3299,共5页Modern Preventive Medicine

摘  要:目的探讨安徽省2004-2015年甲型病毒性肝炎(简称"甲肝")发病的时空分布特点。方法从传染病报告信息管理系统收集安徽省2004-2015年甲肝疫情监测资料,使用MapInfo建立甲肝疫情地理信息系统(Geographic Information Systems,GIS)数据库。应用空间统计分析软件(GeoDa 1.8.12)对建立的GIS数据库进行全局和局部空间自相关分析;用时间-空间扫描统计软件(SaTScan 9.4.4)进行时空扫描统计。结果安徽省2004-2015年共报告甲肝病例17 194例。2004-2014年甲肝发病存在着显著的空间聚集,共探测到61个高-高聚集区;时空扫描统计探测到5个时空聚集区;这些聚集区大部分位于安徽省的沿淮河流域、长江流域和北部的部分县区。结论安徽省甲肝发病存在时空聚集性。Objective To assess the spatio-temporal clustering of hepatitis A in Anhui Province from 2004 to 2015. Methods Epidemiological surveillance data of hepatitis A from 2004 to 2015 were collected from National Notifiable Disease Report System, and the Geographic Information System(GIS) databases of hepatitis A were established by using Map Info. The global and local indicators of spatial autocorrelation analysis was carried out by Geo Da 1.8.12 software, and Sa TScan 9.4.4 software was used to describe the spatio-temporal scan statistics. Results A total of 17 194 hepatitis A cases were reported in Anhui Province from 2004 to 2015. The incidence of hepatitis A was aggregated distribution in Anhui Province from 2004 to 2014,and local indicators of spatial association analysis explored out 61 regions of high-high aggregation. 5 statically significant hepatitis A clusters were identified by the retrospective spatio-temporal scan. Most of these clusters were located in counties along the Huaihe River, the Yangtze River drainage area in Anhui Province and the north of Anhui Province. Conclusion The distribution of hepatitis A in Anhui Province was spatio-tempora clustered.

关 键 词:甲型病毒性肝炎 空间分析 地理信息系统 

分 类 号:R181.23[医药卫生—流行病学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象