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

doi:10.11853/j.issn.1003.8280.2022.02.012

中国媒介生物学及控制杂志 ›› 2022, Vol. 33 ›› Issue (2): 230-233.DOI: 10.11853/j.issn.1003.8280.2022.02.012

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

李炳辉^1,2, 朱海龙^1,2, 马小芳^1,2, 王伟^1,2, 宋富成^1,2, 姜洪荣^1,2, 孙钦同³, 付齐齐^1,2

1. 青岛市疾病预防控制中心消毒与病媒生物防制科/学校卫生科/业务与应急管理科, 山东青岛 266033;
2. 青岛市预防医学研究院, 山东青岛 266033;
3. 山东省疾病预防控制中心, 山东济南 250014

收稿日期:2021-10-10 出版日期:2022-04-20 发布日期:2022-05-09
通讯作者: 付齐齐,E-mail:fuqiqi310@163.com
作者简介:李炳辉,男,硕士,医师,主要从事病媒生物监测与防制研究,E-mail:libinghuicdc@sina.com
基金资助:
山东省医药卫生科技发展计划（202012051157）

Analysis of seasonal characteristics of mosquito vectors in Qingdao city of Shandong province during 2017 and 2020 by the concentration and circular distribution method

LI Bing-hui^1,2, ZHU Hai-long^1,2, MA Xiao-fang^1,2, WANG Wei^1,2, SONG Fu-cheng^1,2, JIANG Hong-rong^1,2, SUN Qin-tong³, FU Qi-qi^1,2

1. Department of Disinfection and Vector Control, School Health, Business and Emergency Management, Qingdao Center for Disease Control and Prevention, Qingdao, Shandong 266033, China;
2. Qingdao Institute of Preventive Medicine, Qingdao, Shandong 266033, China;
3. Shandong Center for Disease Control and Prevention, Ji'nan, Shandong 250014, China

Received:2021-10-10 Online:2022-04-20 Published:2022-05-09
Supported by:
Shandong Province Medical and Health Science and Technology Development Project (No. 202012051157)

摘要/Abstract

摘要： 目的探究集中度和圆形分布法在媒介蚊虫季节消长趋势分析中的应用，为蚊虫及蚊媒传染病风险评估、监测预警和精准防控提供科学依据。方法选取青岛市蚊虫国家级监测点2017－2020年成蚊监测数据，应用集中度法分析成蚊消长趋势季节性强弱，圆形分布法分析季节消长高峰日和高峰期，Watson-William检验法比较各年度季节消长高峰。结果青岛市2017－2020年各月成蚊监测数集中度（M）值为0.807 4，成蚊消长趋势有很强的季节性；圆形分布集中趋势值γ=0.805 1，平均角（α）=223.298 1°，角离差（S）=37.728 1°，雷氏检验Z值为19 951.328，P<0.01，即成蚊季节消长高峰日为8月15日，高峰期为7月8日－9月22日。青岛市2017－2020年各年的平均角α之间的差异有统计学意义（F=282.922，P<0.01），即各年度季节消长高峰不同。结论青岛市2017－2020年成蚊消长趋势有很强的季节性特征，7－9月为高峰期，各年度高峰时间不同。

关键词: 蚊虫, 蚊媒传染病, 季节性, 集中度法, 圆形分布法

Abstract: Objective To explore the application of the concentration degree method and circular distribution method in analyzing the seasonal characteristics of mosquitoes, and to provide a scientific basis for risk evaluation, surveillance, warning, and precise control of mosquitoes and mosquito-borne diseases. Methods Surveillance data of adult mosquitoes at national mosquito surveillance sites in Qingdao from 2017 to 2020 were selected to analyze the magnitude of seasonality using the concentration degree method, the peak day and peak period of seasonal fluctuations using the circular distribution method, and the seasonal fluctuation peaks of each year using the Watson-William test. Results The concentration degree (M) of monthly surveillance data of adult mosquitoes in Qingdao, 2017-2020 was 0.807 4, indicating strong seasonal fluctuations of adult mosquitoes. The circular distribution analysis showed that the central tendency (γ) was 0.805 1, the average angle(α) was 223.298 1°, the angular deviation (S) was 37.728 1°, and Z value for the Rayleigh's test was 19 951.328 (P<0.01), indicating that the peak day was on August 15, and the peak period was from July 8 to September 22. There was a statistical difference in the average angle from 2017 to 2020 (F=282.922, P<0.01), indicating that the peak of seasonal changes was different in different years. Conclusion Adult mosquitoes show strong seasonal fluctuations in Qingdao from 2017 to 2020, peaking during July to September. The peak of seasonal changes varies from year to year.

Key words: Mosquito, Mosquito-borne disease, Seasonality, Concentration degree method, Circular distribution method

中图分类号:

R384.1

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.

LI Bing-hui, ZHU Hai-long, MA Xiao-fang, WANG Wei, SONG Fu-cheng, JIANG Hong-rong, SUN Qin-tong, FU Qi-qi. Analysis of seasonal characteristics of mosquito vectors in Qingdao city of Shandong province during 2017 and 2020 by the concentration and circular distribution method[J]. Chinese Journal of Vector Biology and Control, 2022, 33(2): 230-233.

参考文献

[1] 刘起勇. 新时代媒介生物传染病形势及防控对策[J]. 中国媒介生物学及控制杂志, 2019, 30(1):1-6, 11. DOI:10.11853/j.issn.1003.8280.2019.01.001. Liu QY. Epidemic profile of vector-borne diseases and vector control strategies in the new era[J]. Chin J Vector Biol Control, 2019, 30(1):1-6, 11. DOI:10.11853/j.issn.1003.8280.2019. 01.001.(in Chinese)
[2] Yue YJ, Sun JM, Liu XB, et al. Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares:A case study in five districts of Guangzhou city, China, 2014[J]. Int J Infect Dis, 2018, 75:39-48. DOI:10.1016/j.ijid.2018.07.023.
[3] Chen B, Liu QY. Dengue fever in China[J]. Lancet, 2015, 385(9978):1621-1622. DOI:10.1016/S0140-6736(15)60793-0.
[4] Li RY, Xu L, Bjørnstad ON, et al. Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue[J]. Proc Natl Acad Sci USA, 2019, 116(9):3624-3629. DOI:10.1073/pnas.1806094116.
[5] Xu L, Stige LC, Chan KS, et al. Climate variation drives dengue dynamics[J]. Proc Natl Acad Sci USA, 2017, 114(1):113-118. DOI:10.1073/pnas.1618558114.
[6] Ling Y, Chen J, Huang Q, et al. Yellow fever in a worker returning to China from Angola, March 2016[J]. Emerg Infect Dis, 2016, 22(7):1317-1318. DOI:10.3201/eid2207.160469.
[7] Chen J, Lu HZ. Yellow fever in China is still an imported disease[J]. Biosci Trends, 2016, 10(2):158-162. DOI:10.5582/bst. 2016.01051.
[8] Sakkas H, Economou V, Papadopoulou C. Zika virus infection:Past and present of another emerging vector-borne disease[J]. J Vector Borne Dis, 2016, 53(4):305-311.
[9] 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. 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)
[10] 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. 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)
[11] 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. 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)
[12] 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. 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)
[13] 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. 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)
[14] 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. 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)
[15] 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. DOI:10.19485/j.cnki.issn2096-5087.2019.09.011. Liu WG, Zhao GR, Huang DJ, et al. Analysis of seasonality of hand-food-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)
[16] 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. 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)
[17] 李宗瑾, 谢清梅, 李艳艳, 等. 平顶山市2008-2010年手足口病发病季节性分析[J]. 现代预防医学, 2013, 40(10):1814-1816. Li ZJ, Xie QM, Li YY, et al. Analysis of the seasonality of hand foot and mouth disease (HFMD) in Pingdingshan from 2008 to 2010[J]. Mod Prev Med, 2013, 40(10):1814-1816. (in Chinese)
[18] 金丕焕. 医用统计方法[M]. 2版. 上海:复旦大学出版社, 2003:211-217. Jin PH. Public health preventive medicine[M]. 2nd ed. Shanghai:Fudan University Press, 2003:211-217. (in Chinese)
[19] 夏子瑶, 万夫敬. 1987-2016年青岛市气候变化特征分析[J]. 现代农业科技, 2018(4):171, 173. DOI:10.3969/j.issn.1007-5739.2018.04.104. Xia ZY, Wan FJ. Analysis of climate change characteristics in Qingdao city from 1987 to 2016[J]. Mod Agric Sci Technol, 2018(4):171, 173. DOI:10.3969/j.issn.1007-5739.2018.04.104.(in Chinese)
[20] 王伟, 高汝钦, 马小芳, 等. 2016年青岛市蚊虫监测分析[J]. 中华卫生杀虫药械, 2017, 23(4):351-353, 358. DOI:10.19821/j.1671-2781.2017.04.017. Wang W, Gao RQ, Ma XF, et al. Survey on the mosquito population density in Qingdao city in 2016[J]. Chin J Hyg Insect Equip, 2017, 23(4):351-353, 358. DOI:10.19821/j.1671-2781.2017.04.017.(in Chinese)
[21] 徐承龙, 姜志宽. 蚊虫防制(二):蚊虫的生态习性与常见种类[J]. 中华卫生杀虫药械, 2006, 12(5):403-407. DOI:10.3969/j.issn.1671-2781.2006.05.023. Xu CL, Jiang ZK. Mosquito control (2):Ecological habits and common species of mosquitoes[J]. Chin J Hyg Insect Equip, 2006, 12(5):403-407. DOI:10.3969/j.issn.1671-2781.2006. 05.023.(in Chinese)
[22] Atkinson D. Temperature and organism size:A biological law for ectotherms[J]. Adv Ecol Res, 1994, 25:1-58. DOI:10.1016/S0065-2504(08)60212-3.
[23] 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. 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)

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

Analysis of seasonal characteristics of mosquito vectors in Qingdao city of Shandong province during 2017 and 2020 by the concentration and circular distribution method

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