技术与方法

布雷图指数与诱蚊诱卵指数监测白纹伊蚊幼蚊密度的重复测量分析

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  • 1. 湖州市疾病预防控制中心传染病防制科, 浙江湖州 313000;
    2. 浙江省现场流行病学培训项目, 浙江 杭州 310051;
    3. 湖州市南浔区疾病预防控制中心, 浙江南浔 313009
任飞林,男,硕士,主管医师,主要从事传染病与媒介生物监测工作,E-mail:feilin329@163.com

收稿日期: 2021-02-10

  网络出版日期: 2021-10-20

基金资助

湖州市科学技术局项目(2019GYB41)

A repeated measurement analysis of Aedes albopictus larva density monitored by Breteau index and mosquito ovitrap index

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  • 1. Department of Infectious Disease Control and Prevention, Center for Disease Control and Prevention of Huzhou City, Huzhou, Zhejiang 313000, China;
    2. Zhejiang Provincial Field Epidemiology Training Program, Hangzhou, Zhejiang 310051, China;
    3. Center for Disease Control and Prevention of Nanxun District, Huzhou, Zhejiang 313009, China

Received date: 2021-02-10

  Online published: 2021-10-20

Supported by

Supported by the Research Project of the Science and Technology Bureau of Huzhou (No. 2019GYB41)

摘要

目的 比较布雷图指数(BI)法与诱蚊诱卵指数(MOI)法对白纹伊蚊幼蚊连续密度监测效果,分析不同类型居民区密度监测方法的差异。方法 2020年4-12月每月的上、中、下旬对浙江省湖州地区不同生境场所各进行1次BI法与MOI法监测。用t检验和单因素方差分析比较不同监测方法、不同月份间的密度指数差异,并采用重复测量方差分析比较不同方法、不同类型居民区的BI和MOI,利用SPSS 19.0软件完成统计分析。结果 2020年4-12月BI法和MOI法监测均发现白纹伊蚊幼蚊密度随时间先升高后降低。8-11月2种指数经t检验比较,11月BI值高于MOI值(t=2.672,P=0.012)。8-11月BI两两比较结果显示,8、9月的BI高于10、11月,差异有统计学意义(P<0.05);MOI两两比较,结果显示8-10月MOI均高于11月(P<0.05)。8-11月重复测量方差分析显示,不同月份间白纹伊蚊幼蚊密度指数差异有统计学意义(F=17.222,P<0.001),不同监测方法间幼蚊密度差异无统计学意义(F=0.001,P=0.999),不同类型居民区差异有统计学意义(F=8.096,P=0.008)。8-11月BI法重复测量方差分析,不同月份间差异有统计学意义(F=12.144,P=0.002),居民区类型与月份无交互作用(F=2.645,P=0.095),不同类型居民区BI差异有统计学意义(F=11.744,P=0.004)。8-11月MOI重复测量方差分析,不同月份间差异有统计学意义(F=8.062,P=0.001),居民区类型与月份无交互作用(F=1.063,P=0.375),不同类型居民区MOI差异无统计学意义(F=0.197,P=0.664)。结论 BI与MOI监测同一地区伊蚊幼蚊密度,结果基本一致,但只有在内部环境相对一致时这2种指标可以相互代替。当环境条件变化较大时,MOI法密度指标代表性优于BI法。

本文引用格式

任飞林, 沈建勇, 付云, 刘光涛, 彭财伟 . 布雷图指数与诱蚊诱卵指数监测白纹伊蚊幼蚊密度的重复测量分析[J]. 中国媒介生物学及控制杂志, 2021 , 32(5) : 608 -612 . DOI: 10.11853/j.issn.1003.8280.2021.05.020

Abstract

Objective To investigate the effect of Breteau index (BI) versus mosquito ovitrap index (MOI) in the continuous surveillance of Aedes albopictus larva density, as well as the difference in density surveillance methods between different types of residential area. Methods From April to December in 2020, Ae. albopictus density was monitored once in the first, middle, and last ten days of each month by the BI and MOI methods in different habitats of Huzhou, Zhejiang province, China. SPSS 19.0 software was used to perform the t-test and a one-way analysis of variance to investigate the difference in density index between different surveillance methods and months.The repeated measure analysis of variance was used to compare BI and MOI between different methods and types of residential area. Results Both BI and MOI methods showed that the density of Ae. albopictus larvae increased first and then decreased over time from April to December. Comparison of BI and MOI from August to November based on the t-test showed that BI was higher than MOI in November (t=2.672, P=0.012). Pairwise comparison of BI from August to November showed that BI in August and in September was statistically higher than that in October and in November (P<0.05), and pairwise comparison of MOI showed that MOI in August, September, and October was statistically higher than that in November (P<0.05). The repeated measure analysis of variance showed a statistical difference between months (F=17.222, P<0.001) from August to November; there was no statistical difference between different methods (F=0.001, P=0.999), while there was a statistical difference between different types of residential area (F=8.096, P=0.008). The repeated measure analysis of variance for BI from August to November showed a statistical difference between months (F=12.144, P=0.002); there was no interaction between type of residential area and month (F=2.645, P=0.095), but there was a statistical difference in BI between different types of residential area (F=11.744, P=0.004). The repeated measure analysis of variance for MOI from August to November showed a statistical difference between months (F=8.062, P=0.001); there was no interaction between type of residential area and month (F=1.063, P=0.375), and there was no statistical difference in MOI between different types of residential area (F=0.197, P=0.664). Conclusion The density of Ae. albopictus larvae monitored by BI and MOI is consistent in most cases, but BI and MOI can replace each other only when internal environment is relatively consistent. MOI is better than BI in case of great changes in environmental conditions.

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