Objective To investigate the seasonal variation of the dengue vector Aedes albopictus and its resistance to several commonly used insecticides in Zigong of Sichuan province, China, and to provide a theoretical basis for guiding the selection and application of insecticides and effectively controlling the epidemic situation of dengue fever. Methods Breteau index (BI) and the double mosquito net method were used to monitor the density of Ae. albopictus in Zigong during the peak time of the activity of Ae. albopictus in May to October, 2019. The wild larvae and adults of Ae. albopictus were collected throughout the city using the larval enrichment method and the human-induced adult mosquito sucking method and were reared to the F1 generation in laboratory, and the larva dipping method and the contact tube method recommended by WHO were used to measure the sensitivity of Ae. albopictus larvae and adults to several commonly used insecticides. Excel 2007 and SPSS 19.0 softwares were used to perform the statistical analysis of the monitoring results with the modified Karber's method. Results The peak time of the activity of Ae. albopictus was July to October in Zigong. The mean annual BI was 8.50, and the mean net trap index was 4.50 mosquitoes/net·hour. The density of Ae. albopictus in Zigong showed single-peak curve distribution throughout the year, with the highest density in September, and there was no significant difference in the mean positive rate of Ae. albopictus between different environmental containers (χ2=8.094, P=0.231). The Ae. albopictus larvae showed moderate resistance to beta-cypermethrin, permethrin, and deltamethrin and were sensitive to temephos and dichlorvos, while the adults showed resistance to deltamethrin and suspected resistance to beta-cypermethrin and were sensitive to malathion and propoxur. Conclusion Ae. albopictus in Zigong has relatively high resistance to pyrethroid insecticides and low resistance to organophosphate and carbamate insecticides, and therefore, insecticides should be used reasonably based on local conditions and the above monitoring results to improve control effect.
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