中国媒介生物学及控制杂志 ›› 2022, Vol. 33 ›› Issue (3): 426-429.DOI: 10.11853/j.issn.1003.8280.2022.03.021

• 调查研究 • 上一篇    下一篇

四川省宁南县2018-2019年台湾蠛蠓种群密度调查分析

韩世康1, 刘宇1, 王松林1, 陈建平1, 邓勇2, 汪培章2, 罗发美1, 虞以新3, 钱微萍4   

  1. 1. 宁南县疾病预防控制中心地方病科, 四川 宁南 615400;
    2. 凉山彝族自治州疾病预防控制中心, 四川 凉山 615000;
    3. 军事科学院军事医学研究院微生物流行病研究所, 北京 100071;
    4. 四川省疾病预防控制中心寄生虫病预防控制所, 四川 成都 610041
  • 收稿日期:2022-02-08 出版日期:2022-06-20 发布日期:2022-06-11
  • 通讯作者: 虞以新,E-mail:yyxin100@126.com;钱薇萍,E-mail:914185144@qq.com
  • 作者简介:韩世康,男,副主任医师,从事传染病防控工作,E-mail:110502203@qq.com
  • 基金资助:
    凉山州科学技术研究开发与推广应用课题(18YYJS0018)

An investigation and analysis of population density of Lasiohelea taiwana in Ningnan county, Sichuan province, China, 2018-2019

HAN Shi-kang1, LIU Yu1, WANG Song-lin1, CHEN Jian-ping1, DENG Yong2, WANG Pei-zhang2, LUO Fa-mei1, YU Yi-xin3, QIAN Wei-ping4   

  1. 1. Ningnan County Center for Disease Control and Prevention, Ningnan, Sichuan 615400, China;
    2. Liangshan Yi Autonomous Prefecture Center for Disease Control and Prevention, Liangshan, Sichuan 615000, China;
    3. Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, China;
    4. Institute of Parasitic Diseases Prevention and Control, Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
  • Received:2022-02-08 Online:2022-06-20 Published:2022-06-11
  • Supported by:
    Science and Technology Bureau of Liangshan Prefecture (No.18YYJS0018)

摘要: 目的 调查宁南县台湾蠛蠓种群密度和季节消长。方法 采用人诱法,选择3种生境(城区、郊区、农村)的部分区域作为监测地点,固定监测时间段,监测人员暴露双腿诱叮,记录台湾蠛蠓刺叮数据,计算刺叮指数。收集宁南县气象数据进行分析。结果 宁南县台湾蠛蠓日密度变化,1 d中呈现2个活动高峰,即12:00和16:00,密度为62.0和64.0只/(人·15 min);2018-2019年台湾蠛蠓季节消长,1-5月未监测到,从6月下旬开始出现,9月出现第1个高峰,10月下旬到达最高峰,11月急速下降,12月未监测到,2018和2019年的6-11月平均密度总指数分别为85.6和52.4只/(人·15 min);不同生境台湾蠛蠓密度[只/(人·15 min)],农村为183.9,郊区为117.7,城区为20.0;灌木丛植被型为90.9,草坪植被型为52.4;平坝地形灌木丛为18.4,浅丘陵山坡地形灌木丛为5.8。结论 初步掌握了宁南县台湾蠛蠓种群日密度变化、季节消长规律和不同生境密度情况,为台湾蠛蠓的防治提供了科学依据。

关键词: 台湾蠛蠓, 密度, 季节消长, 生境

Abstract: Objective To investigate the population density and seasonal fluctuation of Lasiohelea taiwana in Ningnan county, Sichuan province, China. Methods Three types of habitats (urban, suburban, and rural areas) were selected as monitoring sites. Using the human trap method, researchers exposed their legs to L. taiwana to induce biting in a fixed time period. The biting data of L. taiwana were recorded, and the biting index was calculated. Furthermore, the meteorological data of Ningnan county were collected and analyzed. Results The daily density of L. taiwana in Ningnan county showed two peaks at 12:00[62.0 midges/(person·15 min)] and 16:00[64.0 midges/(person·15 min)]. In terms of seasonal fluctuation from 2018 to 2019, L. taiwana had not been detected from January to May, and began to appear in late June. Its density reached the first peak in September and the second peak at the end of October. Then it decreased rapidly in November until it was undetectable in December. The overall mean density index from June to November were 85.6 midges/(person·15 min) in 2018 and 52.4 midges/(person·15 min) in 2019. The densities of L. taiwana in different habitats were 183.9 midges/(person·15 min) in rural areas, 117.7 midges/(person·15 min) in suburban areas, and 20.0 midges/(person·15 min) in urban areas; 90.9 midges/(person·15 min) in bushes, 52.4 midges/(person·15 min) on lawns; 18.4 midges/(person·15 min) in the bushes on plains, and 5.8 midges/(person·15 min) in the bushes in hilly areas. Conclusion The daily density variation, seasonal fluctuation, and densities in different habitats of L. taiwana in Ningnan county have been preliminarily mastered, which provides a scientific basis for the control of L. taiwana.

Key words: Lasiohelea taiwana, Density, Seasonal fluctuation, Habitat

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