热带病与寄生虫学

热带病与寄生虫学 ›› 2015, Vol. 13 ›› Issue (1): 23-25.doi: 10.3969/j.issn.1672-2302.2015.01.008

• 论著 • 上一篇    下一篇

按钉螺密度分级设定系统抽样查螺间距的探讨

陈美，彭孝武*，张华明，刘雄，刘军，李霞，张瑕，崔彩霞   

  1. 434100  湖北江陵县，江陵县血吸虫病预防控制所（陈美、张华明、刘雄、刘军、李霞、张瑕、崔彩霞），湖北省荆州市疾病预防控制中心血吸虫病防治所（彭孝武）
  • 出版日期:2015-03-10 发布日期:2015-05-18
  • 基金资助:

    湖北省卫生厅资助项目（XF2012-15）

Systematic field survey on the snail density by space sectioning method

Chen Mei1, Peng Xiaowu2*, Zhang Huaming1, Liu Xiong1, Liu Jun1, Li Xia1, Zhang Xia1, Cui Caixia1   

  1. 1. Schistosomiasis Prevention and Control Center in Jiangling County, Jiangling, Hubei 434100, China. 2. Schistosomiasis Prevention and Control Center in Jingzhou City, Jingzhou,434000, China
  • Online:2015-03-10 Published:2015-05-18

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1298

被引次数

1

摘要： 目的  探讨按钉螺密度高低分级设定现场系统抽样查螺的间距，以提高查螺效率，降低查螺成本。 方法  选择江陵县廖堤村和熊堤村为试验村，对其有螺环境按500m分段，采用系统抽样法，以50m和10m设框分别对两村进行调查。用GPS定位每一自然环境每段起止点，捡获的钉螺统一进行压碎逸蚴法检测感染性钉螺，计算活螺平均密度和有螺框出现率，比较两种方法查螺的效果和效率。 结果  对两村共39段有螺环境进行调查，系统抽样10m设框调查2 584框，活螺平均密度2.040 6只/框，用工209h；50m设框调查539框，活螺平均密度2.606 7只/框，用工73h。10m抽样调查所用工时是50m抽样调查所用工时的近3倍，相同地点两方法查螺查出的钉螺级别并无显著统计学差异（χ2=4.667，P>0.05）。 结论  在有螺环境中采用分级设定系统抽样查螺距离和模式具有用工少、提高效率，同时也可掌握有螺环境螺情分布现状等优点。

关键词: 钉螺密度, 查螺, 方法对比

Abstract:

Objective  To explore advantages and disadvantages in systematically surveying the Oncomelania snail density by space sectioning approaches for improve the efficiency and reducing the costs in snail survey.  Methods  Liaodi village and Xiongdi village in Jiangling County were chosen as the pilot site, and the areas with presence of snails were initially spaced into 50m and 10m by 500m, and surveyed with systematic sampling method. GPS was applied to determine the starting and ending point within the natural environment decided.  The obtained snails were crushed to detect the infectious ones with cercaria shedding method. Then the average density of living snails and occurrence rate of frames with snails were calculated, and two different survey methods were compared for determining the effectiveness and efficiency. Results  A total of 39 sections were surveyed in the two villages. Systematic sampling of 2 584 frames by 10 m space revealed that the average density of living snails was 2.0406pcs/0.1m2. This consumed 209 hours in finishing tasks. Contrarily, sampling of 539 frames by 50 m space demonstrated an average density of living snails of 2.6067pcs/0.1m2, which consumed 73 hours of work that was three times as much as that of the former method. The difference was not significant regarding the snail status detected in the same space with diverse approaches(χ2=4.667, P>0.05). Conclusion  Space sectioning method for surveying the density in a typical environment with snail existence can reduce the labors and improve the work efficiency, as well as authentically reveal distribution of snails in specific surroundings.

Key words: Snail density, Snail investigation, Comparative method