中国血吸虫病防治杂志 ›› 2016, Vol. 28 ›› Issue (2): 120-124.

• 论著 • 上一篇    下一篇

2005-2012年云南省洱源县钉螺时空分布特征分析

刘璐1,2,施学文3,毛桂林3,朱宏儒1,2,杨国静1,2,4,5*   

  1. 1 江苏省血吸虫病防治研究所、 卫生部寄生虫病预防与控制技术重点实验室、 江苏省寄生虫分子生物学重点实验室 (无锡 214064); 2 江南大学公共卫生研究中心; 3云南省洱源县血吸虫病防治站;4 瑞士热带病研究所流行病学与公共卫生学院; 5 瑞士 巴塞尔大学
  • 出版日期:2016-04-19 发布日期:2016-04-20
  • 通讯作者: 杨国静
  • 作者简介:刘璐, 女, 硕士, 研究实习员。研究方向: 寄生虫病流行病学
  • 基金资助:
    国家自然科学基金 (81102173); 国家科技重大专项 (2008ZX10004?11、 2012ZX10004220); 江苏省医学重点人才项目 (2011); 江苏 省科技专项 (BM2015024)

Spatial and temporal characteristics of distribution of Oncomelania hupensis in Eryuan County from 2005 to 2012

LIU Lu1,2 , SHI Xue-wen3 ,MAO Gui-lin3 ,ZHU Hong-ru1,2 , YANG Guo-jing1,2, 4,5*   

  1. 1 Jiangsu Institute of Parasitic Diseases,Key Laboratory of Parasitic Disease Control and Prevention,Ministry of Health,Jiangsu Provincial Key Laboratory of Parasite Molecular Biology,Jiangsu Institute of Parasitic Diseases,Wuxi 214064,China;2 Public Health Research Center, Jiangnan University, Jiangsu Province, China; 3 Eryuan Schistosomiasis Control Station,Yunnan Prov? ince,China;4 Department of Epidemiology and Public Health,Swiss Tropical and Public Health Institute,Switzerland;5 Uni? versity of Basel, Switzerland
  • Online:2016-04-19 Published:2016-04-20
  • Contact: YANG Guo?jing

摘要: 目的 目的 研究2005-2012年云南省洱源县钉螺时空分布特征, 为钉螺监测与防控提供科学依据。 方法 方法 建立 2005-2012年云南省洱源县钉螺分布的地理信息系统, 采用Cochran?Armitage 趋势检验、 空间自相关分析、 局部自相关分 析和 “热点” 分析探索钉螺时空分布及变化趋势。 结果 结果 2005-2012年洱源县钉螺分布存在空间自相关, 且随时间增加 自相关有增加趋势。洱源县钉螺密度逐年降低,但在山区峡谷型流行区呈现H?H聚集模式, 主要分布在炼铁村附近区 域。血吸虫感染性钉螺在2005-2007年整体性减少, 但平坝流行区存在H?H聚集模式, 如新联村附近区域。 “热点” 分析 发现洱源县钉螺的聚集区域在新庄、 炼铁、 西坡和太平村附近。 结论 结论 洱源县钉螺分布具有空间自相关和局部自相关, 且存在 “热点区域” , 在今后钉螺的监测与防制过程中应合理分配资源。

关键词: 钉螺, 时空分布, 地理信息系统, 空间自相关, 洱源县, 云南省

Abstract: Objective Objective To study the spatial and temporal characteristics of Oncomelania hupensis in Eryuan County,Yun? nan Province from 2005 to 2012,so as to provide the scientific evidence for snail surveillance and control. Methods Methods Based on the geographic database of O. hupensis snail distribution from 2005 to 2012,the spatial and local autocorrelation analysis and "hot spots" analysis were applied to analyze the spatial and temporal characteristics of the snails. Results Results Percent of frames with O. hupensis snails in Eryuan County decreased as a whole from 2005 to 2012. The spatial clustering of global autocorrela? tion(Moran’ s I)was increasing from 2007 to 2012 and all Moran’ s I values showed statistically significance. The local spatial autocorrelation analysis indicated that the number of villages of High?High type of correlation model increased from 2 in 2005 to 7 in 2012,which mainly clustered in plateau canyon areas. The infected snails with High?High type mainly distributed in pla? teau basin region in 2007. Further "hot spot" analysis found that the living snails gathered in Xinzhuang,Liantie,Xipo and Taip? ing nearby areas. Conclusion Conclusion The snail distribution in Eryuan has global and local spatial autocorrelations. The number of vil? lages of High?High type of correlation increased. These findings provide the basis for target control of O. hupensis in the future.

Key words: Oncomelania hupensis, Spatial and temporal distribution, Geographical Information System (GIS), Spatial au? tocorrelation, Eryuan County, Yunnan Province

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