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.
ZHANG Jia-yi, ZHOU Yi-bin, LI Yan-ling, ZHONG Ling
. A study of grid monitoring method for mosquito ovitraps[J]. Chinese Journal of Vector Biology and Control, 2021
, 32(2)
: 208
-212
.
DOI: 10.11853/j.issn.1003.8280.2021.02.017
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