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河南省永城市蚊种构成及季节消长分析

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  • 1 永城市疾病预防控制中心, 河南 永城 476600;
    2 中国疾病预防控制中心传染病预防控制所, 传染病预防控制国家重点实验室, 世界卫生组织媒介生物监测与管理合作中心, 北京 102206;
    3 青岛大学公共卫生学院, 山东 青岛 266071
陈传伟,男,副主任技师,从事微生物检验和疾病预防控制研究,Email:ccw138370@163.com;郭玉红,女,博士,研究员,从事蚊媒生物学及其控制研究,Email:guoyuhong@icdc.cn

收稿日期: 2016-12-27

  网络出版日期: 2017-04-20

基金资助

国家重大科学研究计划(2012CB955503);国家科技重大专项(2012ZX10004219-002);卫生行业科研专项(201202006)

Analysis on mosquito species composition and seasonal fluctuation in Yongcheng city of Henan province

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  • 1 Yongcheng Center for Disease Control and Prevention, Yongcheng 476600, Henan Province, China;
    2 State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, WHO Collaborating Centre for Vector Surveillance and Management;
    3 School of Public Health, Qingdao University

Received date: 2016-12-27

  Online published: 2017-04-20

Supported by

Supported by the National Basic Research Program of China(973 Program)(No. 2012CB955503), National Science and Technology Major Project of China(No. 2012ZX10004219-002), and the Special Fund for Health Sector, People's Republic of China(No. 201202006)

摘要

目的 调查河南省永城市的蚊种构成、密度、季节消长及其分布,了解该地区优势蚊种及其活动规律,为防控蚊媒疾病提供依据。方法 根据不同地理方位选择3个乡镇作为调查点,于2010年7-10月采用诱蚊灯法在人房外、户外和牲畜棚等不同生境开展蚊类调查,每月2次,对捕获的蚊类进行形态学鉴定、记录,并利用Excel 2007和SPSS 20.0软件进行数据分析。结果 共捕获蚊虫20 684只,隶属4属5种,平均蚊密度为34.08只/(灯·夜);三带喙库蚊为优势蚊种,占捕获总数的54.12%。牲畜棚蚊密度最高,达50.58只/(灯·夜),人房外和户外环境蚊密度差异无统计学意义,3种生境蚊密度差异有统计学意义(F=74.450,P<0.01)。蚊密度7月开始增高,7月下旬为活动小高峰,9月达活动最高峰,10月开始下降。任湖和孟庄村蚊密度于9月上旬达最高峰,呈单峰分布,以任湖村蚊密度最高;3个乡镇的蚊虫数量和蚊种构成差异有统计学意义(χ2=2 033.097,P<0.01)。结论 永城市蚊虫分布依生境和地方性特征而不同,可根据不同地区、生境及蚊种季节变化趋势,采取针对性的防蚊灭蚊措施开展蚊虫防治工作。

本文引用格式

陈传伟, 郭玉红, 孙重秀, 任东升, 朱丽, 刘祥, 罗运动, 沈阳, 刘京利, 刘小波, 李贵昌, 刘起勇 . 河南省永城市蚊种构成及季节消长分析[J]. 中国媒介生物学及控制杂志, 2017 , 28(2) : 144 -147 . DOI: 10.11853/j.issn.1003.8280.2017.02.012

Abstract

Objective To decide the predominant mosquito species in Yongcheng city, and their natural occurrence, density, seasonal fluctuation, and habitat distribution. The results will guide the vector management in this area. Methods Light-trapped method was used twice a month in three towns which lies in different direction in Yongcheng area. Dwellings, houses premises, and livestocks were selected as the surveillance sites in each town. Excel 2007 and SPSS 20.0 were used for data analysis. Results The total mosquito number obtained in 2010 were 20 684 with the average density 34.08/(trap·night). Culex tritaeniorhynchus took up to 54.12%, which was the predominent species. The mosquito density in livestocks was 50.58/(trap·night) which was the highest; the mosquito density around dwellings and their premises had no significant difference. Mosquito density showed statistical significance in 3 surveillance habitats (F=74.450, P<0.01). Mosquito density began to increase in July, reach a small peak activity in late July, and reached the highest peak activity in September, followed a decline in October. The mosquito density in Renhu and Mengzhuang villages reached the peak in early September, showed a unimodal peak activity. Renhu had the highest mosquito density. Three towns showed statistically significant differences in mosquito species and their density (χ2=2 033.097, P<0.01). Conclusion The distribution of mosquitoes in Yongcheng city varied according to habitat and village characteristics, then the mosquito prevention and control work should be based on the mosquito distribution in different habit, different village, and seasonal performance by species in this area.

参考文献

[1] Hay SI,Guerra CA,Tatern AJ,et al. The global distribution and population at risk of malaria:past,present,and future[J]. Lancet Infect Dis,2004,4(6):327-336.
[2] Zhou SS,Huang F,Wang JJ,et al. Geographical,meteorological and vectorial factors related to malaria re-emergence in HuangHuai River of central China[J]. Malar J,2010,9(1):337.
[3] Greenwood BM,Fidock DA,Kyle DE,et al. Malaria:progress, perils,and prospects for eradication[J]. J Clin Invest,2008,118 (4):1266-1276.
[4] Hay SI,Guerra CA,Gething PW,et al. A world malaria map: Plasmodium falciparum endemiccity in 2007[J]. PLoS Med, 2009,6(3):e1000048.
[5] 刘颖,周瑞敏,鲁德领,等. 2005-2010年河南省疟疾监测分析[J]. 现代预防医学,2014,41(7):1290-1292,1300.
[6] 刘学周,许汴利. 河南省1990-2005年疟疾疫情及防治效果评价[J]. 中国寄生虫学与寄生虫病杂志,2006,24(3): 226-229.
[7] 刘颖,周瑞敏,钱丹,等. 河南省2005-2013年疟疾流行特征分析[J]. 中国寄生虫学与寄生虫病杂志,2014,32(6): 419-422.
[8] 张红卫,苏云普,周广超,等. 河南省永城市快速回升的疟疾疫情分析[J]. 中国媒介生物学及控制杂志,2007,18(1): 42-44.
[9] 中华人民共和国卫生部. 全国病媒生物监测方案(试行)[S]. 北京:中国疾病预防控制中心,2005.
[10] 方美玉,林立辉,刘建伟. 虫媒传染病[M]. 北京:军事医学科学出版社,2005:2-40,135-190.
[11] Liu XB,Liu QY,Guo YH,et al. The abundance and hostseeking behavior of culicine species(Diptera:Culicidae)and Anopheles sinensis in Yongcheng city,People's Republic of China[J]. Parasit Vectors,2011,4(1):221.
[12] 蒋峥,何建邯,周莉蓉,等. 蚊密度与气温及降雨量关系的聚类分析[J]. 中华卫生杀虫药械,2015,21(2):171-172,174.
[13] 陈国翠. 深圳市某区白纹伊蚊密度季度消长情况调查与温湿度对其影响的分析[J]. 医学信息,2012,25(2):194-195.
[14] 仲洁,何隆华. 气象因素对蚊虫密度影响研究进展[J]. 中国媒介生物学及控制杂志,2015,26(1):95-99.
[15] 曲健,刘东华,袁勤德,等. 东营市蚊虫种群密度监测及季节消长调查研究[J]. 中华卫生杀虫药械,2013,19(6): 504-507.
[16] 陆润泽,刘起勇,吴海霞,等. 2014年中国淡色库蚊/致倦库蚊种群地理分布特征分析[J]. 中国媒介生物学及控制杂志, 2016,27(2):107-111.
[17] 郭玉红,陈传伟,朱丽,等. 河南省永城市白纹伊蚊日活动节律初步研究[J]. 中国媒介生物学及控制杂志,2016,27(5): 484-486.

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