Surveillance and analysis of mosquito density in Nanchong City from 2014 to 2022
Objective To analyze the surveillance data of mosquito density in Nanchong,Sichuan Province from 2014 to 2022,to understand the mosquito density,species distribution and seasonal fluctuation in residential areas and its surroundings,so as to evaluate the risk of mosquito-borne infectious diseases and to provide scientific basis for the control the density of mosquitoes.Methods The data of adult mosquito in Nanchong from April to November of 2014 to 2022 was monitored by lamp trapping method.Excel 2010 was used for databases and charts and SPSS 20.0 was used for data analysis.Chi-quare test is applied to examine the composition ratio of female mosquitoes trapped in different years,habitats and months and variance analysis applied to the density.Results Culex pipiens pallens accounted for the highest proportion of 44.74％in Nanchong from 2014 to 2022.There were statistical differences in the composition of mosquito in different years,habitats and months(x2=14 551.26,20 874.18,1763.39,P＜0.05);and there were statistical differences in the trends of mosquito density and seasonal fluctuationin different species,years and habitats(F=5.03,8.70,3.45,P＜0.05).The mosquito density showed a wave pattern from 2014 to 2022 and the highest mosquito density was found in livestock sheds,as much as 96.01 mosquitoes per lamp·h.The seasonal fluctuation of mosquito density showed a single-peak pattern from April to November in different monitoring sites,with the highest density from July to September.Conclusion The mosquitoes are still widely spread in Nanchong and Cx.pipiens pallens and Cx.tritaeniorhynchus are the dominant mosquito species.The mosquito density in rural areas is obviously higher than urban areas.The highest mosquito density is in livestock sheds,which should be the key area for mosquito control.Mosquitoes are active in summer and autumn,and mosquito control should be strengthened during this period.
Nanchongmosquito densitymonitoring and analysisseasonal fluctuationimpact factors
万方数据
