青海省部分地区蚊密度季节分布与气象因素的关联分析

doi:10.11853/j.issn.1003.8280.2023.06.020

中国媒介生物学及控制杂志 ›› 2023, Vol. 34 ›› Issue (6): 814-818.DOI: 10.11853/j.issn.1003.8280.2023.06.020

青海省部分地区蚊密度季节分布与气象因素的关联分析

王蓉¹, 刘起勇², 郭玉红², 杨秉睿¹, 张宪青¹, 卢囡囡³, 程晓兰⁴, 马斌忠⁵, 蒋明霞⁵

1. 青海卫生职业技术学院, 青海西宁 810000;
2. 传染病溯源预警与智能决策全国重点实验室, 中国疾病预防控制中心传染病预防控制所媒介生物控制室, 北京 102206;
3. 青海国际旅行卫生保健中心, 青海西宁 810000;
4. 大连国际旅行卫生保健中心, 辽宁大连 116007;
5. 青海省疾病预防控制中心, 青海西宁 810007

收稿日期:2023-05-26 出版日期:2023-12-20 发布日期:2023-12-26
通讯作者: 郭玉红,E-mail：guoyuhong@icdc.cn
作者简介:王蓉，女，硕士，副主任医师，从事公共卫生防治工作，E-mail：wangrong_994102@126.com
基金资助:
中国疾病预防控制中心传染病预防控制所公共卫生突发应急反应机制运行项目（131031102000180007）

Relationship between seasonal distribution of mosquito density and meteorological factors in some areas of Qinghai Province, China

WANG Rong¹, LIU Qi-yong², GUO Yu-hong², YANG Bing-rui¹, ZHANG Xian-qing¹, LU Nan-nan³, CHENG Xiao-lan⁴, MA Bin-zhong⁵, JIANG Ming-xia⁵

1. Qinghai College of Health Sciences and Technology, Xining, Qinghai 810000, China;
2. National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Department of Vector Biology and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;
3. Qinghai International Travel Healthcare Center, Xining, Qinghai 810000, China;
4. Dalian International Travel Healthcare Center, Dalian, Liaoning 116007, China;
5. Qinghai Center for Disease Control and Prevention, Xining, Qinghai 810007, China

Received:2023-05-26 Online:2023-12-20 Published:2023-12-26
Supported by:
Emergency Response Mechanism Operation Program, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (No.131031102000180007)

摘要/Abstract

摘要： 目的了解青海省部分地区不同季节的蚊密度,探究蚊密度与气象因素之间的关系。方法利用Excel 2022软件对2018－2021年青海省5个监测点的蚊密度进行圆形分布法的计算,并推算各监测点蚊密度高峰日和高峰期；利用SPSS 22.0软件对青海省西宁、格尔木和玉树市的蚊密度与相关气象因素进行多元线性回归分析。结果青海省调查点的蚊虫季节消长高峰日为7月19日,高峰期为6月10日－8月28日；蚊密度和气象因素回归方程为y=-2.19+0.47x₁+0.01x₃+0.02x₄（x₁：月平均气温；x₃：月平均相对湿度；x₄：月平均气压）（F=20.613,P<0.001）。在海拔3 700 m的玉树市发现有蚊虫孳生。结论青海省部分地区蚊密度与气温、相对湿度、气压之间存在一定相关关系,且蚊密度高峰期基本都集中在7月中旬。

关键词: 圆形分布法, 蚊密度, 气象因素, 多元线性回归, 青海省

Abstract: Objective To study the seasonal distribution of mosquito density and explore the relationship between mosquito density and meteorological factors in some areas of Qinghai Province, China.Methods The data on mosquito density of five surveillance points of Qinghai Province from 2018 to 2021 were analyzed using the circular distribution method to calculate the peak day and peak period of mosquito density at each surveillance point. A multiple linear regression analysis was conducted to determine the relationship between mosquito density and meteorological factors in Xining, Golmud, and Yushu of Qinghai Province with SPSS 22.0.Results The peak day of seasonal fluctuations of mosquitoes of surveyed points in Qinghai Province was July 19, and the peak period was from June 10 to August 28. The regression equation for mosquito density and meteorological factors was y=-2.19+0.47x₁+0.01x₃+0.02x₄ (x₁, mean air temperature; x₃, monthly average relative humidity; x₄, monthly mean air pressure) (F=20.613, P<0.001). Mosquitoes have been found breeding in Yushu City with an altitude of 3 700 meters.Conclusions There is a certain correlation between the mosquito density in some areas of Qinghai Province and the local monthly average temperature, monthly average humidity, and monthly average air pressure, and the peak period of mosquito density is basically concentrated in mid July.

Key words: Circular distribution method, Mosquito density, Meteorological factor, Multiple linear regression, Qinghai Province

中图分类号:

R384.1

王蓉, 刘起勇, 郭玉红, 杨秉睿, 张宪青, 卢囡囡, 程晓兰, 马斌忠, 蒋明霞. 青海省部分地区蚊密度季节分布与气象因素的关联分析[J]. 中国媒介生物学及控制杂志, 2023, 34(6): 814-818.

WANG Rong, LIU Qi-yong, GUO Yu-hong, YANG Bing-rui, ZHANG Xian-qing, LU Nan-nan, CHENG Xiao-lan, MA Bin-zhong, JIANG Ming-xia. Relationship between seasonal distribution of mosquito density and meteorological factors in some areas of Qinghai Province, China[J]. Chinese Journal of Vector Biology and Control, 2023, 34(6): 814-818.

参考文献

[1] Liu MD,Jiang J,Tong Y,et al. Relationship of meteorological factors to mosquito density in residential areas of Beijing[J]. Acta Parasitol Med Entomol Sin,2021,28（2）:76-84. DOI:10.3969/j.issn.1005-0507.2021.02.003.（in Chinese）刘美德,姜江,佟颖,等. 北京市居民区中蚊虫密度与气象因素关系的研究[J]. 寄生虫与医学昆虫学报,2021,28（2）:76-84. DOI:10.3969/j.issn.1005-0507.2021.02.003.
[2] Wang R,Liu QY,Lu T,et al. Species composition and spatial distribution of mosquitoes in human habitats in Yellow River basin in Qinghai province,China[J]. Chin J Vector Biol Control,2023,34（3）:389-393,399. DOI:10.11853/j.issn.1003.8280. 2020.02.0182023.03.018.（in Chinese）王蓉,刘起勇,陆涛,等.青海省黄河流域人居环境蚊类物种组成及空间分布特征[J].中国媒介生物学及控制杂志,2023,34（3）:389-393,399.
[3] Ma YJ,Fu LL,Zhang YL,et al. Population structure and seasonal fluctuation of mosquitoes and flies of Binzhou,2017-2018[J]. Mod Prev Med,2019,46（17）:3197-3200,3210. （in Chinese）马勇建,付磊磊,张云兰,等. 2017－2018年滨州市蚊蝇种群结构及季节消长分析[J]. 现代预防医学,2019,46（17）:3197-3200,3210.
[4] Zhu XH，Wu YP，Chen MJ. Population density and distribution characteristics of Aedes albopictus in 2017 in Yiwu，Zhejiang province，China［J］. Chin J Vector Biol Control，2019，30（5）: 567-569. DOI:10.11853/j. issn. 1003.8280.2019.05.021. （in Chinese）朱心红，吴因平，陈莫娇. 浙江省义乌市2017年白纹伊蚊密度及其分布特征［J］. 中国媒介生物学及控制杂志，2019，30（5）: 567-569.DOI:10.11853/j.issn.1003.8280.2019.05.021.
[5] Wu HX,Lu L,Meng FX,et al. Reports on national surveillance of mosquitoes in China,2006-2015[J]. Chin J Vector Biol Control,2017,28（5）:409-415. DOI:10.11853/j.issn.1003. 8280.2017.05.001.（in Chinese）吴海霞,鲁亮,孟凤霞,等. 2006－2015年我国蚊虫监测报告[J]. 中国媒介生物学及控制杂志,2017,28（5）:409-415. DOI:10.11853/j.issn.1003.8280.2017.05.001.
[6] General Administration of Quality Supervision,Inspection and Quarantine of the People’s Republic of China,Standardization Administration of the People’s Republic of China. GB/T23797-2009 Surveillance methods for vector density-Mosquito[S]. Beijing:Standards Press of China. （in Chinese）中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会. GB/T 23797－2009 病媒生物密度监测方法蚊虫[S]. 北京:中国标准出版社,2009.
[7] Jin PH. Public health preventive medicine[M]. 2nd ed. Shanghai:Fudan University Press,2003:211-217. （in Chinese）金丕焕. 医用统计方法[M]. 2版. 上海:复旦大学出版社,2003:211-217.
[8] Liu HY,Xiao JH,Wang F,et al. Seasonal characteristics of hand,foot and mouth disease in Shandong province during 2008 and 2014 analyzed with concentration and circular distribution methods[J]. J Shandong Univ:Health Sci,2016,54（12）:77-81,89. DOI:10.6040/j.issn.1671-7554.0.2016.469.（in Chinese）刘红杨,肖金环,王凡,等. 集中度和圆形分布法分析山东省2008－2014年手足口病季节性特征[J]. 山东大学学报:医学版,2016,54（12）:77-81,89. DOI:10.6040/j.issn.1671-7554. 0.2016.469.
[9] Cao SY,Yin P,Lu ZX. Analysis on the seasonal intensity of tuberculosis in China applying the improved muster method[J]. Chin J Dis Control Prev,2011,15（12）:1081-1083. （in Chinese）曹世义,尹平,卢祖洵. 应用改良的集中度法分析我国结核病发病的季节性特征[J]. 中华疾病控制杂志,2011,15（12）:1081-1083.
[10] Kang YH,Cui YM,Cao WJ. Long-term trend and seasonality of human brucellosis in China from 2011 to 2017[J]. Chin J Health Stat,2018,35（6）:895-897. （in Chinese）康育慧,崔咏梅,曹文君. 2011－2017年我国人间布鲁氏菌病发病的长期趋势和季节性研究[J]. 中国卫生统计,2018,35（6）:895-897.
[11] Liu WG,Zhao GR,Huang DJ,et al. Analysis of seasonality of hand, foot, and mouth disease in Luohe by concentration ratio and the circular distribution[J]. Prev Med,2019,31（9）:908-910. DOI:10.19485/J.cnki.issn2096-5087.2019.09.011.（in Chinese）刘卫光,赵桂让,黄道靖,等. 漯河市手足口病发病集中度和圆形分布分析结果[J]. 预防医学,2019,31（9）:908-910. DOI10.19485/j.cnki.issn2096-5087.2019.09.011.
[12] Wang JJ,Zhou J,Tang XH,et al. Epidemiological characteristics and influencing factors of measles among adults in Jinshan district of Shanghai,2005-2017[J]. Chin Prev Med,2019,20（9）:784-788. DOI:10.16506/j.1009-6639.2019.09.004.（in Chinese）王晶晶,周杰,汤喜红,等. 2005－2017年上海市金山区成人麻疹流行病学特征及影响因素分析[J]. 中国预防医学杂志,2019,20（9）:784-788. DOI:10.16506/j.1009-6639.2019.09.004.
[13] Fu LJ,Ma JX,Ge S,et al. Concentration and circular distribution-based analyses of the seasonal characteristics of hand,foot and mouth disease from 2016 to 2018 in Chaoyang district of Beijing,China[J]. Chin J Viral Dis,2020,10（4）:289-292. DOI:10.16505/j.2095-0136.2020.0009.（in Chinese）付凌姣,马建新,葛申,等. 应用集中度和圆形分布法分析2016－2018年北京市朝阳区手足口病季节性特征[J]. 中国病毒病杂志,2020,10（4）:289-292. DOI:10.16505/j.2095-0136. 2020.0009.
[14] Shang WX,Hai XP,Qin FC. Application of the round distribution method to probe the seasonal change of flies[J]. Chin J Vector Biol Control,2005,16（1）:17-18. DOI:10.3969/j.issn.1003-4692.2005.01.005.（in Chinese）尚文旭,海秀萍,秦丰程. 圆形分布法在探讨蝇类季节消长规律中的应用[J]. 中国媒介生物学及控制杂志,2005,16（1）:17-18. DOI:10.3969/j.issn.l003-4692.2005.01.005.
[15] Xu XH,She GZ,Tang YE,et al. Analysis of seasonal changes of Anopheles malaria mosquitoes in Jiangsu province by circular distribution method[J]. Chin J Health Stat,2014,31（6）:990-991. （in Chinese）许筱红,佘桂芝,唐月娥,等. 圆形分布法分析江苏省传疟按蚊季节性消长规律变化[J]. 中国卫生统计,2014,31（6）:990-991.
[16] He YJ,Yan QY,Adil E,et al. Circular distribution of the incidences of three mosquito-borne infectious diseases in China from 2005 to 2017[J]. J Shanghai Jiaotong Univ:Agric Sci,2019,37（2）:14-18. DOI:10.3969/J.ISSN.1671-9964.2019.02. 003.（in Chinese）何业计,闫清源,尔夏提江·阿迪力江,等. 2005－2017年全国3种主要蚊媒传染病发病数的圆形分布分析[J]. 上海交通大学学报:农业科学版,2019,37（2）:14-18. DOI:10.3969/J.ISSN.1671-9964.2019.02.003.
[17] Wang JN,Ling F,Guo S,et al. Study on the relevant meteorological factors influencing mosquito density in Zhejiang province[J]. Chin J Vector Biol Control,2015,26（5）:464-466,470. DOI:10.11853/j.issn.1003.4692.2015.05.008.（in Chinese）王金娜,凌锋,郭颂,等. 浙江省蚊虫密度的相关气象因素研究[J]. 中国媒介生物学及控制杂志,2015,26（5）:464-466,470. DOI:10.11853/j.issn.1003.4692.2015.05.008.
[18] Zhong J,He LH. Advances in research on impacts of meteorological factors on mosquito density[J]. Chin J Vector Biol Control,2015,26（1）:95-99 DOI:10.11853/j.issn.1003.4692. 2015.01.028.（in Chinese）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. DOI:10.11853/j.issn.1003.4692.2015.01.028.
[19] Wang R,Liu QY,Liu GX,et al. First discovery of Culex （Culex） vagans Wiedemann in Ledu county,Qinghai province,China[J]. Chin J Vector Biol Control,2020,31（2）:209-211. DOI:10.11853/j.issn.1003.8280.2020.02.018.（in Chinese）王蓉,刘起勇,刘桂香,等. 青海省乐都县首次发现迷走库蚊[J]. 中国媒介生物学及控制杂志,2020,31（2）:209-211. DOI:10.11853/j.issn.1003.8280.2020.02.018.

青海省部分地区蚊密度季节分布与气象因素的关联分析

Relationship between seasonal distribution of mosquito density and meteorological factors in some areas of Qinghai Province, China

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	孙钦同, 刘言, 韩英男, 胡巨凤, 王学军, 刘文杰, 曹馨月, 赖世宏, 何倩, 景晓. 气象因素对济南市城区蚊密度影响及滞后效应分析[J]. 中国媒介生物学及控制杂志, 2023, 34(6): 799-803,813.
[2]	赵怡双, 菅越, 尤晓杰, 王敏雅, 陈财荣. 浙江省台州市2017－2022年媒介蚊虫生态学监测及病毒携带状况调查[J]. 中国媒介生物学及控制杂志, 2023, 34(5): 622-627.
[3]	金彬彬, 韦凌娅, 金慧, 曹阳, 王英红, 孔庆鑫. 杭州市2017－2021年登革热媒介白纹伊蚊生态学监测结果分析[J]. 中国媒介生物学及控制杂志, 2023, 34(4): 491-496.
[4]	王蓉, 刘起勇, 陆涛, 张宪青, 马永成, 郭玉红, 马斌忠, 刘桂香, 蒋明霞, 程晓兰. 青海省黄河流域人居环境蚊类物种组成及空间分布特征[J]. 中国媒介生物学及控制杂志, 2023, 34(3): 389-393.
[5]	王壮飞, 卢雪, 侯晓晖. 青海省东部4县库蠓分布调查[J]. 中国媒介生物学及控制杂志, 2023, 34(1): 53-57.
[6]	马德珍, 宋伟, 徐燕, 刘焕燕. 3种白纹伊蚊种群密度监测方法的效果比较研究[J]. 中国媒介生物学及控制杂志, 2022, 33(3): 336-339.
[7]	运玲, 王福才, 张岭. 河北省唐山市2010－2020年蚊虫种群密度与季节消长监测分析[J]. 中国媒介生物学及控制杂志, 2022, 33(3): 351-355.
[8]	李炳辉, 朱海龙, 马小芳, 王伟, 宋富成, 姜洪荣, 孙钦同, 付齐齐. 基于集中度和圆形分布法分析山东省青岛市2017-2020年媒介蚊虫季节性特征[J]. 中国媒介生物学及控制杂志, 2022, 33(2): 230-233.
[9]	唐娜, 董洋洋, 马建, 陈芝君, 戴罗桓, 阳益德, 贺权源, 周军华. 气象因素与登革热发病相关关系的Meta分析[J]. 中国媒介生物学及控制杂志, 2021, 32(6): 725-731.
[10]	韩晓莉, 赵勇, 高文, 马丽华, 宋纪文. 基于季节性分解的圆形分布法在蚊虫监测数据统计分析中的应用[J]. 中国媒介生物学及控制杂志, 2021, 32(5): 604-607.
[11]	康东梅, 牛艳芬, 闫东, 刘冠纯, 崔耀仁, 杜国义, 兰晓宇, 候芝林, 任兴宇, 闫萍, 孟凤霞. 河北省鼠疫自然疫源地康保牧场长爪沙鼠巢蚤季节性分布研究[J]. 中国媒介生物学及控制杂志, 2021, 32(3): 276-281.
[12]	李海军, 韩佳, 张征. 宁夏回族自治区引黄灌区2019年蚊虫生态监测结果分析[J]. 中国媒介生物学及控制杂志, 2021, 32(3): 282-285.
[13]	杨迎宇, 王莹莹, 陈芸, 付朝伟. 上海市宝山区登革热媒介伊蚊密度指数与气象因素滞后效应分析[J]. 中国媒介生物学及控制杂志, 2021, 32(3): 286-290.
[14]	宋富成, 王伟, 马小芳, 李炳辉, 薛建杰, 李学奎, 姜洪荣. 两种不同算法在青岛市成蚊密度预测中的应用[J]. 中国媒介生物学及控制杂志, 2021, 32(3): 339-343.
[15]	薛红梅, 谢辉, 马丽, 张爱萍, 于守鸿, 李积权, 杨旭欣, 徐立青. 1株分离于青海省喜马拉雅旱獭的布鲁氏菌微量生化鉴定[J]. 中国媒介生物学及控制杂志, 2021, 32(2): 221-223.