中国媒介生物学及控制杂志 ›› 2021, Vol. 32 ›› Issue (2): 208-212.DOI: 10.11853/j.issn.1003.8280.2021.02.017

• 技术与方法 • 上一篇    下一篇

网格化诱蚊诱卵器监测方法研究

张佳一1, 周毅彬2, 李彦玲1, 钟岭1   

  1. 1. 上海市静安区卫生健康委员会, 上海 200070;
    2. 上海市疾病预防控制中心, 上海 200336
  • 收稿日期:2020-08-31 出版日期:2021-04-20 发布日期:2021-04-20
  • 作者简介:张佳一,女,主任科员,主要从事爱国卫生工作,E-mail:zhangjiayi@jingan.gov.cn;周毅彬,男,副主任医师,主要从事病媒生物研究工作,E-mail:zhouyibin@scdc.sh.cn
  • 基金资助:
    上海市卫生健康委员会科研课题计划(201940350);2019年上海市静安区病媒生物监测社会化服务采购项目(SHXM-00-20190305-0450)

A study of grid monitoring method for mosquito ovitraps

ZHANG Jia-yi1, ZHOU Yi-bin2, LI Yan-ling1, ZHONG Ling1   

  1. 1. Jing'an District Health Commission, Shanghai 200070, China;
    2. Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
  • Received:2020-08-31 Online:2021-04-20 Published:2021-04-20
  • Supported by:
    Supported by the Shanghai Municipal Health Commission (No. 201940350) and Procurement Project of Socialized Vector Monitoring Service in Jing'an District of Shanghai in 2019 (No. SHXM-00-20190305-0450)

摘要: 目的 结合空间分析技术研究网格化诱蚊诱卵器监测方法,为登革热防控划定精准的空间范围提供科学依据。方法 2019年第20~45周,在上海市静安区以网格为监测单位,设置133个网格,采用诱蚊诱卵器法每周监测1次白纹伊蚊密度的时间和空间变化。计算诱蚊诱卵器阳性率全局空间自相关Moran's I指数,探测研究区域内白纹伊蚊的空间格局,并通过热点分析识别差异具有统计学意义的诱蚊诱卵器阳性率的热点和冷点。结果 在研究区域内,平均诱蚊诱卵器阳性率在第29周达到最大值,为8.28%。诱蚊诱卵器阳性率全局空间自相关分析结果显示,在街镇尺度Moran's I指数为-0.012(Z=0.384,P=0.701),诱蚊诱卵器阳性率在街镇尺度空间格局表现为随机分布;在网格尺度Moran's I指数为0.150(Z=3.074,P=0.002),诱蚊诱卵器阳性率在网格尺度空间格局表现为聚集性分布。热点探索在网格尺度和街镇尺度的诱蚊诱卵器阳性率在南部地区均发现高聚集区域,中部地区均发现低聚集区域,网格尺度探测到的北部高聚集区域在街镇尺度未发现。结论 网格尺度的诱蚊诱卵器监测有利于发现白纹伊蚊密度的高聚集区和低聚集区,网格化的监测方法具有实用意义。

关键词: 诱蚊诱卵器, 白纹伊蚊, 监测, 网格化

Abstract: Objective To investigate the grid monitoring method for mosquito ovitraps based on spatial analysis technology, and to provide a basis for accurate delineation of spatial range for dengue fever prevention and control. Methods From week 20 to week 45 of 2019, 133 grids were established in Jing'an district of Shanghai, and the mosquito ovitrap method was used to monitor the temporal and spatial variations in the density of Aedes albopictus once a week. The global spatial autocorrelation Moran's I index was calculated for the positive rate of mosquito ovitraps to detect the spatial aggregation pattern of Ae. albopictus in the study area, and a hot spot analysis was used to identify the hot and cold spots with statistical significance. Results In the study area, the mean positive rate of mosquito ovitraps reached the maximum value of 8.28% in the week 29 of 2019. The global spatial autocorrelation analysis showed that Moran's I index at sub-district scale was -0.012 (Z=0.384, P=0.701) and the positive rate of mosquito ovitraps showed a spatial pattern of random distribution at sub-district scale; Moran's I index at grid scale was 0.150 (Z=3.074, P=0.002), and the positive rate of mosquito ovitraps showed a spatial pattern of aggregated distribution at grid scale. Hot spots of the positive rate of mosquito ovitraps showed high-aggregation spots in the south and low-aggregation spots in the middle at both grid and sub-district scales, and the high-aggregation spots in the north detected at grid scale were not found at sub-district scale. Conclusion Grid-scale mosquito ovitrap monitoring helps to identify the high- and low-aggregation areas of Ae. albopictus, and the grid monitoring method has practical significance.

Key words: Mosquito ovitrap, Aedes albopictus, Monitoring, Grid

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