中国媒介生物学及控制杂志 ›› 2023, Vol. 34 ›› Issue (3): 351-355.DOI: 10.11853/j.issn.1003.8280.2023.03.012

• 媒介生物监测 • 上一篇    下一篇

杭州市2017-2021年蚊虫种群密度与季节消长监测结果分析

金彬彬, 韦凌娅, 曹阳, 邵汉文, 王英红, 孔庆鑫   

  1. 1. 杭州市疾病预防控制中心传染病防制所, 浙江 杭州 310021
  • 收稿日期:2022-12-02 出版日期:2023-06-20 发布日期:2023-06-16
  • 通讯作者: 孔庆鑫,E-mail:kqx79@sina.com
  • 作者简介:金彬彬,男,博士,主管技师,主要从事病媒生物防制工作,E-mail:jbb_525@163.com
  • 基金资助:
    杭州市医药卫生科技项目(A20230110,Z20210043);杭州市医学重点学科项目;杭州市科技发展计划项目(20190101A12);浙江省医药卫生科技计划项目(2020KY782)

An analysis of mosquito population density and seasonal fluctuation monitoring results in Hangzhou, Zhejiang province, China, 2017-2021

JIN Bin-bin, WEI Ling-ya, CAO Yang, SHAO Han-wen, WANG Ying-hong, KONG Qing-xin   

  1. 1. Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang 310021, China
  • Received:2022-12-02 Online:2023-06-20 Published:2023-06-16
  • Supported by:
    General Projects of Medical and Health Science and Technology Plan of Hangzhou (No.A20230110, Z20210043); Hangzhou Medical Key Discipline Project; Hangzhou Science and Technology Development Plan Project (No. 20190101A12); General Projects of Medical and Health Science and Technology Plan of Zhejiang (No. 2020KY782)

摘要: 目的 了解杭州市2017-2021年媒介蚊虫密度及季节消长规律,为媒介控制和蚊媒传染病防制提供科学依据。方法 采用诱蚊灯法,按照《全国病媒生物监测实施方案》和《浙江省病媒生物监测工作方案》,每年4-11月对杭州市15个区(市、县)开展监测。使用Excel 2016软件对监测数据进行汇总,使用SPSS 21.0软件进行统计学分析,不同年份间蚊虫构成比差异进行卡方检验、不同生境间蚊密度差异进行单因素方差分析。结果 2017-2021年杭州市蚊密度为1.99只/(灯·夜),捕获的蚊虫以淡色/致倦库蚊为主,占71.90%;蚊虫密度季节消长趋势总体呈双峰型,7和10月为密度高峰。淡色/致倦库蚊、三带喙库蚊、白纹伊蚊、中华按蚊和骚扰阿蚊5类蚊种在不同年份间差异均有统计学意义(均P<0.001)。在不同的生境中,牲畜棚/养殖场平均蚊密度最高,达4.92只/(灯·夜);医院的平均蚊密度最低,为1.35只/(灯·夜);其中中华按蚊、骚扰阿蚊在不同生境中的密度差异均有统计学意义(F=3.581,P=0.023;F=5.431,P=0.004)。各类生境中均以淡色/致倦库蚊为优势蚊种,其次是三带喙库蚊、骚扰阿蚊、白纹伊蚊和中华按蚊,5类蚊虫均以牲畜棚/养殖场的密度最高。结论 杭州市蚊密度总体处于较低水平,以淡色/致倦库蚊为优势蚊种,在今后的工作中应重点加强牲畜棚/养殖场的蚊虫防制工作,建议各区(市、县)根据蚊媒密度变化、分布及季节消长规律采取针对性的蚊媒防制措施。

关键词: 蚊虫, 监测, 密度, 消长趋势

Abstract: Objective To investigate the density and seasonal fluctuations of vector mosquitoes in Hangzhou, Zhejiang province, China from 2017 to 2021, and to provide a scientific basis for vector control and mosquito-borne disease prevention.Methods The light trap method was used to investigate 15 districts/counties/cities in Hangzhou from April to November, 2017-2021, in accordance with the "National Vector Surveillance Program" and "Zhejiang Province Vector Surveillance Program". Excel 2016 software was used to summarize the monitoring data, and SPSS 21.0 software was used for statistical analysis. The Chi-square test was used for the difference of mosquito composition ratio in different years, and one-way ANOVA was used for the difference of mosquito density in different habitats.Results From 2017 to 2021, the mosquito density in Hangzhou was 1.99 mosquitoes/light·night, and Culex pipiens pallens/quinquefasciatus (71.90%) was the dominant species. The seasonal fluctuation trend of mosquito density generally showed a bimodal curve, peaking in July and October. There were statistical differences in densities of Cx. pipiens pallens/quinquefasciatus, Cx. tritaeniorhynchus, Aedes albopictus, Anopheles sinensis, and Armigeres subalbatus between different years (all P<0.001). In terms of various habitats, livestock barns/farms had the highest mean mosquito density (4.92 mosquitoes/light·night), and hospitals had the lowest (1.35 mosquitoes/light·night). There were statistical differences in densities of An. sinensis and Ar. subalbatus between various habitats (F=3.581, P=0.023; F=5.431, P=0.004). Cx. pipiens pallens/quinquefasciatus was the dominant mosquito species in various habitats, followed by Cx. tritaeniorhynchus, Ar. subalbatus, Ae. albopictus, and An. sinensis. Livestock barns/farms had the highest mosquito densities in terms of any of the above five species.Conclusions The mosquito density in Hangzhou is generally at a low level. Cx. pipiens pallens/quinquefasciatus is the dominant species. In future mosquito control, livestock barns/farms should be highlighted for special attention. Local districts/cities/counties should take targeted mosquito control measures based on their density changes, distribution, and seasonal fluctuations.

Key words: Mosquito, Surveillance, Density, Seasonal trend

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