Chines Journal of Vector Biology and Control ›› 2015, Vol. 26 ›› Issue (2): 194-195.DOI: 10.11853/j.issn.1003.4692.2015.02.023

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The research on spatial distribution characteristics of plague foci in Qinghai province

WANG Mei, TANG Xin-yuan, WANG Zu-yun, CHEN Hong-jian, ZHANG Ai-ping, FENG Jian-ping, ZHAO Zhong-zhi, JIN Juan, XU Qian, TIAN Fu-zhang   

  1. Qinghai Institute for Endemic Diseases Prevention and Control, Xining 811602, Qinghai Province, China
  • Received:2014-10-09 Online:2015-04-20 Published:2015-04-20
  • Supported by:

    Supported by the Grant from the Special Health Profession Research(No. 201202021)

青海省鼠疫疫源地分布特征的研究

王梅, 唐新元, 王祖郧, 陈洪舰, 张爱萍, 冯建萍, 赵忠智, 靳娟, 徐倩, 田富彰   

  1. 青海省地方病预防控制所鼠疫预防控制科, 西宁811602
  • 通讯作者: 唐新元,Emailtang19790624@126.com
  • 作者简介:王梅,女,主管医师,主要从事鼠疫病原分子生物学研究与防治工作,Emailwangmei19790624@126.com
  • 基金资助:

    卫生行业科研专项(201202021)

Abstract:

Objective To research the distribution characteristics of Qinghai plague foci and the epidemic trend of human plague. Methods Applied geographic information system of Qinghai plague prevention and control to create the database and spatial mapping for 33 counties, where the plague natural foci were in Qinghai. Results The system query retrieval and mapping function showed the distribution of Qinghai plague natural foci, which was mainly concentrated in Huangnan state, Guoluo state, Yushu state, Haixi state, Haibei state, Hainan state and Xining city and 33 counties in Haidong region. Conclusion The geographic information system of Qinghai province plague prevention and control intuitively showed the distribution characters of plague foci and human plague in Qinghai province, so as to provide technical assistance for formulating the plague prevention and control strategy.

Key words: Plague foci, Distribution character

摘要:

目的 研究青海省鼠疫疫源地的分布特征及人间鼠疫流行态势。方法 利用青海省鼠疫防治地理信息系统, 对青海省33个疫源县进行建库及制图。结果 通过系统的查询检索和制图功能, 显示青海省鼠疫自然疫源地分布范围, 主要集中在黄南州、果洛州、玉树州、海西州、海北州、海南州及西宁市和海东地区的33个县(区)。结论 青海省鼠疫防治地理信息系统直观地显示了青海省鼠疫疫源地及人间鼠疫的分布特征, 为制定相应的鼠疫防治策略提供了技术支持。

关键词: 鼠疫疫源地, 分布特征

CLC Number: