中国血吸虫病防治杂志 ›› 2014, Vol. 26 ›› Issue (4): 367-.

• 论著 • 上一篇    下一篇

江陵县血吸虫病疫情时空聚集性分析

张瑕1|高风华2*|张华明1|朱红3|余晴4|李石柱4|曹淳力4*   

  1. 1 湖北省江陵县血吸虫病防治所(江陵 434100);2 安 徽省血吸虫病防治研究所;3 湖北省疾病预防控制中 心血吸虫病研究所;4 中国疾病预防控制中心寄生虫 病预防控制所
  • 出版日期:2014-08-15 发布日期:2014-08-12
  • 通讯作者: 高风华,曹淳力
  • 作者简介:张瑕| 女| 大专| 主管医师。研究方向: 血吸虫病防治
  • 基金资助:
    国家重大科技专项(2008ZX10004?011、 2011ZX10004? 201、 2011ZX10004?220); 国家自然科学基金(81101280); 中国疾病预防控制中心寄生虫病预防控制所监测预 警团队建设项目;湖北省荆州市医药卫生科技计划 项目(20121PE1?1、 20131PE1?1)

Spatial-time cluster analysis of distribution of schistosomiasisin Jiangling County

ZHANG Xia1 |GAO Feng-hua2* | ZHANG Hua-ming1 | ZHU Hong3 | YU Qing4 |LI Shi-zhu4 |CAO Chun-li 4*   

  1. 1 Jiangling Station of Schistosomiasis Control|Hubei Province|Jiangling 434100|China;2 Anhui Provincial Institute of Schis? tosomiasis Control|China;3 Hubei Center for Disease Control and Prevention|China;4 National Institute of Parasitic Diseases| Chinese Center for Disease Control and Prevention|China
  • Online:2014-08-15 Published:2014-08-12
  • Contact: GAO Feng?hua,CAO Chun?li

摘要: 目的 目的 分析2006-2011年湖北省江陵县血吸虫病疫情的时空分布特点。 方法 方法 收集整理2006-2011年江陵县 血吸虫病监测数据, 建立空间数据库, 导入SaTScan 9.1.1软件进行时空重排扫描聚集分析, 确定血吸虫病发生的时空聚 集性, 并采用ArcGIS 10.0软件制作风险地图。 结果 结果 2011年江陵县人群和耕牛血吸虫感染率、 钉螺感染率较2006年分 别下降了47.67%、 93.34%和52.41%。时空聚集性分析显示, 2006-2011年上述3个指标在时空分布上均存在聚集性, 分 别探测出4、 3个和4个聚集区域, 均分布于垸内。 结论 结论 2006-2011年江陵县血吸虫病疫情呈现下降态势, 探测发现的 聚集性区域是该县血吸虫病防治的重点区域。提示, 时空重排扫描统计可用于血吸虫病疫情分析。

关键词: 血吸虫病; 疫情; 时空重排聚集性分析

Abstract: Objective Objective To analyze the spatial?time distribution characteristics of schistosomiasis in Jiangling County,Hubei Province from 2006 to 2011. Methods Methods The surveillance data of schistosomiasis of Jiangling County from 2006 to 2011 were col? lected,and a spatial database was established. The spatial?time permutation cluster analysis was performed by SaTScan 9.1.1 to detect the spatial?time cluster areas of schistosomiasis,and a risk map was drawn by ArcGIS 10.0. Results Results Compared to 2006, the infection rates of human,cattle and Oncomelania hupensis snails decreased by 47.67%,93.34% and 52.41%,respectively in 2011. The space? time permutation clustering analysis of the infection rates of human,cattle and snails showed 4,3 and 4 clusters,respectively,and all the clustered areas were distributed in inner embankment areas. Conclusions Conclusions From 2006 to 2011,the schistosomiasis endemic situation presents a decline trend in Jiangling County. The detected cluster areas are the im? portant areas for schistosomiasis control. The space?time permutation statistics could be used in the analysis of endemic situation of schistosomiasis.

Key words: Schistosomiasis;Endemic situation;Space?time permutation cluster analysis

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