不同类型居住片区中不同白纹伊蚊密度监测指标间的相关性研究

doi:10.11853/j.issn.1003.8280.2022.04.013

摘要/Abstract

摘要： 目的研究白纹伊蚊密度监测指标的相关性，为不同类型居住片区合理采用监测指标提供依据。方法针对上海市浦东新区4类共28个居住片区开展白纹伊蚊密度监测指标调查，采用Pearson相关性分析方法对各指标之间的相关性进行分析。结果 2019年5－10月，28个居住片区容器指数（CI）最高为企业宿舍（35.78%），房屋指数（HI）最高为农村合作社（6.74%），诱蚊诱卵指数（MOI）最高为商品房小区（11.11），布雷图指数（BI）最高为建筑工地（21.14），伊蚊路径指数最高为建筑工地（8.33处/km），白纹伊蚊成蚊密度最高为建筑工地［0.97只/（灯·夜）］。总体环境的BI与HI、BI与MOI、BI与伊蚊路径指数呈正相关（r=0.665、0.517、0.614，均P<0.05）。其中商品房小区的BI与HI、BI与MOI、HI与MOI呈正相关（r=0.991、0.926、0.905，均P<0.05），拆迁房小区的BI与HI呈正相关（r=0.958，P=0.001），农村合作社的BI与HI、HI与MOI、伊蚊路径指数与成蚊密度、成蚊密度与MOI呈正相关（r=0.995、0.818、0.837、0.813，均P<0.05），其他居住片区（城中村、企业宿舍、建筑工地、学校宿舍）的BI与伊蚊路径指数呈正相关（r=0.992，P=0.001）。结论商品房小区、拆迁房小区、农村合作社等居住片区避免BI和HI重复监测。城中村、企业宿舍、建筑工地、学校宿舍等外环境占比较大的居住片区，避免BI与伊蚊路径指数重复监测。商品房小区避免BI与MOI重复监测，拆迁房小区、农村合作社和其他居住类型选择BI和MOI互为补充开展监测。

关键词: 白纹伊蚊, 诱蚊诱卵指数, 布雷图指数, 房屋指数, 容器指数, 伊蚊路径指数

Abstract: Objective To study the correlations between population density indices of Aedes albopictus monitored in different types of residential areas, and to provide a basis for the rational use of Aedes mosquito monitoring indices. Methods The density monitoring indices of Ae. albopictus were investigated in 28 residential areas of four types in Pudong New Area, Shanghai, China, and their correlations were analyzed by Pearson correlation analysis. Results From May to October, the highest container index (CI) of 28 residential areas was found in enterprise dormitories (35.78%), the highest housing index (HI) was in rural cooperatives (6.74%), the highest mosquito ovitrap index (MOI) was in commercial housing communities (11.11), the highest Breteau index (BI) was in construction sites (21.14), the highest Aedes route index (RI) was in construction sites (8.33 places/km), and the highest adult mosquito density (AMD) was recorded in a construction site[0.97/(lamp·night)]. There were positive correlations between BI and HI, between BI and MOI, and between BI and RI in the general environment (r=0.665, 0.517, and 0.614, all P<0.05). In commercial housing residential areas, a positive correlation was found between BI and HI, between BI and MOI, and between HI and MOI (r=0.991, 0.926, and 0.905, all P<0.05). In resettlement residential areas, BI and HI were positively correlated (r=0.958, P=0.001). In rural cooperatives, a positive correlation was found between BI and HI, between HI and MOI, between RI and AMD, and between AMD and MOI (r=0.995, 0.818, 0.837, and 0.813, all P<0.05). In other residential areas (urban villages, enterprise dormitories, construction sites, and school dormitories), BI was positively correlated with RI (r=0.992, P=0.001).Conclusion Duplicated monitoring with both BI and HI should be avoided in residential areas such as commercial housing residential areas, resettlement residential areas, and rural cooperatives. Duplicated mosquito monitoring with both BI and RI should be avoided in urban villages, enterprise dormitories, construction sites, school dormitories, and other residential areas with large external environment. Duplicated monitoring with both BI and MOI should be avoided in commercial housing residential areas. Both BI and MOI should be selected to complement each other for monitoring Aedes mosquito the resettlement residential areas, rural cooperatives, and other residential types.

Key words: Aedes albopictus, Mosquito ovitrap index, Breteau index, Housing index, Container index, Aedes route index

中图分类号:

R384.1

刘汉昭, 于思雨, 冯磊, 刘俊, 林晨, 郝莉鹏. 不同类型居住片区中不同白纹伊蚊密度监测指标间的相关性研究[J]. 中国媒介生物学及控制杂志, 2022, 33(4): 510-515.

LIU Han-zhao, YU Si-yu, FENG Lei, LIU Jun, LIN Chen, HAO Li-peng. Correlations between density indices of Aedes albopictus monitored in different types of residential areas[J]. Chinese Journal of Vector Biology and Control, 2022, 33(4): 510-515.

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