张杰,陆崇华,陆晓燕,等.上海市杨浦区白纹伊蚊3种监测指标的比较分析[J].上海预防医学,2024,36(2):173-178.. doi: 10.19428/j.cnki.sjpm.2024.23034
引用本文: 张杰,陆崇华,陆晓燕,等.上海市杨浦区白纹伊蚊3种监测指标的比较分析[J].上海预防医学,2024,36(2):173-178.. doi: 10.19428/j.cnki.sjpm.2024.23034
ZHANG Jie,LU Chonghua,LU Xiaoyan,et al.Comparative analysis of Aedes albopictus surveillance index in Yangpu District, Shanghai[J].Shanghai Journal of Preventive Medicine,2024,36(02):173-178.. doi: 10.19428/j.cnki.sjpm.2024.23034
Citation: ZHANG Jie,LU Chonghua,LU Xiaoyan,et al.Comparative analysis of Aedes albopictus surveillance index in Yangpu District, Shanghai[J].Shanghai Journal of Preventive Medicine,2024,36(02):173-178.. doi: 10.19428/j.cnki.sjpm.2024.23034

上海市杨浦区白纹伊蚊3种监测指标的比较分析

Comparative analysis of Aedes albopictus surveillance index in Yangpu District, Shanghai

  • 摘要:
    目的 分析2017—2021年上海市杨浦区白纹伊蚊3种监测指标的年际消长、季节消长、生境分布以及各指标的相关性,为白纹伊蚊的防控和监测指标的合理利用提供科学依据。
    方法 比较上海市杨浦区2017—2021年采用布雷图指数、路径指数和诱蚊诱卵指数记录的白纹伊蚊密度监测数据。采用Excel 2019软件进行数据汇总,采用SPSS 25.0软件进行统计学分析。
    结果 2017—2021年,布雷图指数有2个月份>5,路径指数均达到密度控制>C级水平,诱蚊诱卵指数有9个月份≥5。2017年布雷图指数高于其余4个年份,差异有统计学意义(均P≤0.001)。2017年和2020年诱蚊诱卵指数均高于2019年(P=0.029和0.004)与2021年(P=0.005和0.001),差异有统计学意义。各类型生境的诱蚊诱卵指数不全相同,差异有统计学意义(P=0.004)。布雷图指数与路径指数存在线性相关关系(r=0.462, P=0.010)。
    结论 上海市杨浦区采用布雷图指数、路径指数、诱蚊诱卵指数等3种指数反映白纹伊蚊密度,但3种监测指标的线性相关情况不佳;综合考虑监测方法的科学性、指标的季节消长等因素,宜将诱蚊诱卵指数作为评估白纹伊蚊密度的主要指标。诱蚊诱卵指数监测中生境类型的分布、操作方法的规范性、质量控制等仍是需要注意的环节,对提高诱蚊诱卵指数的可靠性有重要意义。

     

    Abstract:
    Objective To analyze the interannual fluctuation, seasonal fluctuation, habitat distribution and the correlation of the 3 monitoring indicators of Aedes albopictus in Yangpu District of Shanghai from 2017 to 2021, and to provide a scientific basis for A. albopictus control and rational use of the indicators.
    Methods The density surveillance data of A. albopictus recorded by Breteau index (BI), Path index (PI) and the mosquito ovitrap index (MOI) from 2017 to 2021 in Yangpu District, Shanghai were compared. Microsoft Excel 2019 software was used for data summary and SPSS 25.0 software was used for statistical analysis.
    Results From 2017 to 2021, there were two months with BI>5, and the PI were all above the density control level of Class C, and there were nine months with MOI≥5. In 2017, BI was higher than in the other four years, with statistically significant differences (all P≤0.001). MOI in 2017 and 2020 was higher than in 2019 (P=0.029, P=0.004) and 2021 (P=0.005, P=0.001), with statistical significance. MOI for different types of habitats varied significantly, with a statistically significant difference (P=0.004). A linear correlation was observed between BI and PI (r=0.462, P=0.010).
    Conclusion BI, PI and MOI are used simultaneously to reflect the density of A. albopictus in Yangpu District of Shanghai. However, these three monitoring indicators show poor linear correlation. Comprehensively considering the scientific aspects of monitoring methods and seasonal fluctuations of indicators, it is suggested that MOI should be used as the main index to evaluate the density of A. albopictus. In the MOI, attention should be paid to factors such as the distribution of the habitats, the standardization of operating methods, and quality control, which are essential for enhancing the reliability of the MOI.

     

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