中国媒介生物学及控制杂志 ›› 2019, Vol. 30 ›› Issue (3): 341-344.DOI: 10.11853/j.issn.1003.8280.2019.03.027

• 调查研究 • 上一篇    下一篇

宁波市2017年媒介伊蚊密度监测结果分析

王桂安, 马晓, 杨思嘉, 孙斌, 马敏, 陈小英, 许国章   

  1. 宁波市疾病预防控制中心消毒与媒介生物防制所, 浙江 宁波 315010
  • 收稿日期:2019-02-21 出版日期:2019-06-20 发布日期:2019-06-20
  • 通讯作者: 马晓,Email:max@nbcdc.org.cn
  • 作者简介:王桂安,男,主管医师,主要从事病媒生物监测研究,Email:wangguian125@163.com
  • 基金资助:
    浙江省医学重点学科项目(07-013);浙江省医药卫生科技计划(2019KY634)

An analysis of the density monitoring results of Aedes mosquitoes in Ningbo, China, in 2017

WANG Gui-an, MA Xiao, YANG Si-jia, SUN Bin, MA Min, CHEN Xiao-ying, XU Guo-zhang   

  1. Ningbo Center for Disease Control and Prevention, Ningbo 315010, Zhejiang Province, China
  • Received:2019-02-21 Online:2019-06-20 Published:2019-06-20
  • Supported by:
    Supported by the Fund for Zhejiang Province Key Subject of Medicine (No. 07-013) and the Zhejiang Medicine Health Science and Technology Project (No. 2019KY634)

摘要: 目的 了解宁波地区伊蚊密度及季节消长趋势,为蚊媒传染性疾病的防控提供参考依据。方法 2017年4-11月在宁波市各县(市、区)分别运用双层叠帐法和布雷图指数(BI)法对居民区、公园、废品站的伊蚊成蚊和幼蚊进行监测,分析伊蚊季节消长趋势。结果 宁波地区伊蚊帐诱指数平均为1.18只/(顶·h),各月间以9月最高,各生境中以公园帐诱指数最高,为1.23只/(顶·h);监测地区BI平均为15.11,以9月最高为23.63。结论 6-9月宁波地区伊蚊传染病传播风险较高;针对伊蚊监测,同时采用针对成蚊和幼蚊2种方法能更好地评估登革热传播风险。

关键词: 伊蚊密度, 监测, 季节消长

Abstract: Objective To investigate the density and seasonal fluctuation trend of Aedes mosquitoes in Ningbo, China, and to provide a reference for the prevention and control of Aedes-borne diseases. Methods From April to November, 2017, the double-layered mosquito net (DLMN) method and the Breteau index (BI) method were used to survey the adults and larvae of Aedes mosquitoes in residential areas, parks, and waste stations in the counties (cities and districts) of Ningbo. And the seasonal fluctuation trends of Aedes mosquitoes were analyzed. Results The mean net trap index of Aedes mosquitoes in Ningbo was 1.18 mosquitoes/net·hour, and the index was highest in September. Among all the above-mentioned habitats, the parks had the highest net trap index (1.23 mosquitoes/net·hour). The mean BI in surveillance area was 15.11, and the BI was highest (23.63) in September. Conclusion The risk of transmission of Aedes-borne diseases in Ningbo is high from June to September. Regarding the Aedes vector surveillance, using both DLMN and BI methods simultaneous can better assess the risk of dengue transmission.

Key words: Aedes mosquito density, Surveillance, Seasonal fluctuation

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