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

doi:10.11853/j.issn.1003.8280.2021.05.019

摘要/Abstract

摘要： 目的采用基于季节分解的圆形分布法，分析河北省2016－2019年蚊虫分布的季节特征，探讨其应用于蚊虫监测数据统计分析的可行性。方法使用Excel 2007和SPSS 19.0软件，采用季节分解法对河北省2016－2019年蚊虫密度的季节特征进行分解，分析河北省蚊虫密度的季节趋势，采用t检验对原始拟合蚊密度与原始蚊密度的差异进行比较；通过季节指数利用圆形分布法推测河北省蚊虫的密度高峰日和高峰期。结果将2016－2019年河北省蚊密度进行季节分解，构建出趋势季节模型如下：Ÿ_t=（1.328+0.072t-0.001t²）+S_t（Ÿ_t为某月的预测蚊密度，t为序列号，S_t为季节指数，F=2.679，P<0.05），通过趋势T的预测值和季节指数最终得到原始拟合的蚊密度，与原始蚊密度的走向基本一致。2016－2019年河北省蚊虫密度具有很强的季节性，且均呈现先升后降的季节趋势；蚊密度高峰日为8月2日，高峰期为6月27日至9月5日。结论满足圆形分布法的应用条件时，基于季节分解的圆形分布法在分析蚊虫监测数据及季节特征方面具有较好的应用价值。

关键词: 季节性分解, 圆形分布法, 蚊密度

Abstract: Objective To analyze the seasonal characteristics of mosquito distribution in Hebei province, China from 2016 to 2019 using the circular distribution method based on seasonal decomposition, and to evaluate the feasibility of its application in the statistical analysis of mosquito surveillance data. Methods Excel 2007 and SPSS 19.0 softwares, as well as seasonal decomposition method, were used to decompose the seasonal characteristics of mosquito density in Hebei province from 2016 to 2019, and the seasonal trend of mosquito density was analyzed. The t-test was used to compare the original mosquito density and the original fitted mosquito density. The seasonal index and the circular distribution method were used to speculate the peak day and peak period of mosquito density in Hebei province. Results The mosquito density data in Hebei province from 2016 to 2019 were decomposed seasonally, and a season model of its trend was established as follows: Ÿ_t = (1.328+0.072t-0.001t²) + S_t (Ÿ_t: the predicted mosquito density in a month, t: serial number, S_t: seasonal index, F=2.679, P<0.05). The original fitted mosquito density obtained through the predicted value of trend T and the seasonal index had a basically consistent trend with the original mosquito density. The mosquito density data in Hebei province from 2016 to 2019 had obvious seasonality, which increased first and then decreased. The peak day of mosquito density was August 2, and the peak period was observed from June 27 to September 5. Conclusion When meeting the application conditions, the circular distribution method based on periodic decomposition has a good application value in analyzing mosquito surveillance data and seasonal characteristics.

Key words: Seasonal decomposition, Circular distribution method, Mosquito density

中图分类号:

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.

HAN Xiao-li, ZHAO Yong, GAO Wen, MA Li-hua, SONG Ji-wen. Application of circular distribution method based on seasonal decomposition in the statistical analysis of mosquito surveillance data[J]. Chines Journal of Vector Biology and Control, 2021, 32(5): 604-607.

参考文献

[1] 罗林峰,王德全. 圆形分布法及生物多样性指标在蚊蝇等监测中的应用[J]. 中国热带医学,2014,14(1):121-124. DOI:10.13604/j.cnki.46-1064/r.2014.01.009.Luo LF,Wang DQ. Application of circular distribution method and biodiversity indicators in monitoring of mosquitoes flies and other vectors[J]. China Trop Med,2014,14(1):121-124. DOI:10.13604/j.cnki.46-1064/r.2014.01.009.
[2] Jacob BG,Burkett-Cadena ND,Luvall JC,et al. Developing GIS-based eastern equine encephalitis vector-host models in Tuskegee,Alabama[J]. Int J Health Geogr,2010,9(1):12. DOI:10.1186/1476-072X-9-12.
[3] Jacob BG,Muturi EJ,Caamano EX,et al. Hydrological modeling of geophysical parameters of arboviral and protozoan disease vectors in internally displaced people camps in Gulu,Uganda[J]. Int J Health Geogr,2008,7(1):11. DOI:10.1186/1476-072X-7-11.
[4] 何隆华,周明浩,褚宏亮,等. 遥感技术在蚊媒传染病研究中的应用进展[J]. 中国媒介生物学及控制杂志,2014,25(2):184-188. DOI:10.11853/j.issn.1003.4692.2014.02.028.He LH,Zhou MH,Chu HL,et al. Application of remote sensing technology in research on mosquito-borne diseases:a review[J]. Chin J Vector Biol Control,2014,25(2):184-188. DOI:10. 11853/j.issn.1003.4692.2014.02.028.
[5] 毛明飞. 灌云县2010-2019肾综合征出血热流行病学特征[J]. 江苏预防医学,2020,31(5):537-538. DOI:10.13668/j.issn.1006-9070.2020.05.022.Mao MF. Epidemiological characteristics of hemorrhagic fever with renal syndrome in Guanyun county from 2010 to 2019[J]. Jiangsu J Prev Med,2020,31(5):537-538. DOI:10.13668/j.issn.1006-9070.2020.05.022.
[6] 宋仙保,郭建花,张世勇. 1949-2018年石家庄市流行性乙型脑炎发病趋势分析[J]. 中国人兽共患病学报,2019,35(11):1047-1050. DOI:10.3969/j.issn.1002-2694.2019.00.167.Song XB,Guo JH,Zhang SY. Epidemic trend of Japanese encephalitis in Shijiazhuang city,China,1949-2018[J]. Chin J Zoonoses,2019,35(11):1047-1050. DOI:10.3969/j.issn.1002-2694.2019.00.167.
[7] 刘丽军,施文平,席韵,等. 应用圆形分布法分析闵行区蝇类密度季节消长规律[J]. 热带医学杂志,2012,12(8):1019-1021.Liu LJ,Shi WP,Xi Y,et al. Seasonal change analysis of flies in Minhang district,Shanghai from 2006 to 2010 by circular distribution method[J]. J Trop Med,2012,12(8):1019-1021.
[8] 毛龙飞,韦悦,裘剑飞. 圆形分布法在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,2007,18(6):456-458. DOI:10.3969/j.issn.1003-4692.2007.06.008.Mao LF,Wei Y,Qiu JF. Application of circular distribution method to probe the seasonal change of flies[J]. Chin J Vector Biol Control,2007,18(6):456-458. DOI:10.3969/j.issn.1003-4692.2007.06.008.
[9] 杨亮. 临沂市手足口病发病率的趋势季节模型预测研究[J]. 社区医学杂志,2015,13(17):13-15.Yang L. Research on forecasting of hand-foot-mouth disease incidence in Linyi by the trend season model[J]. J Commun Med,2015,13(17):13-15.
[10] 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.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.
[11] 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.1003-4692.2005.01.005.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.
[12] 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.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.
[13] 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.He YJ,Yan QY,Erxat A,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.
[14] 蒋莹,徐哲,许旭红. 应用圆形分布法探讨建德市病媒生物季节性消长规律[J]. 中国媒介生物学及控制杂志,2014,25(5):474-475. DOI:10.11853/j.issn.1003.4692.2014.05.025.Jiang Y,Xu Z,Xu XH. Application of circular distribution method in investigation of seasonal fluctuation of vectors in Jiande,China[J]. Chin J Vector Biol Control,2014,25(5):474-475. DOI:10.11853/j.issn.1003.4692.2014.05.025.
[15] 王永斌,柴峰,李向文,等. 基于周期分解的圆形分布法分析我国流行性乙型脑炎季节特征[J]. 郑州大学学报(医学版),2016,51(4):486-489. DOI:10.13705/j.issn.1671-6825.2016. 04.013.Wang YB,Chai F,Li XW,et al. Application of circular distribution method based on seasonal decomposition in analysis on seasonal feature of epidemic encephalitis B in China[J]. J Zhengzhou Univ(Med Sci),2016,51(4):486-489. DOI:10.13705/j.issn.1671-6825.2016.04.013.
[16] 高文,黄钢,韩晓莉. 基于蚊密度差分自回归移动平均模型预测流行性乙型脑炎的贝叶斯判别分析研究[J]. 中国媒介生物学及控制杂志,2018,29(6):557-563. DOI:10.11853/j.issn.1003.8280.2018.06.003.Gao W,Huang G,Han XL. Application of Bayes analysis in Japanese encephalitis prediction based on multiple seasonal autoregressive integrated moving average model[J]. Chin J Vector Biol Control,2018,29(6):557-563. DOI:10.11853/j.issn.1003.8280.2018.06.003.