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Objective To determine the seasonal fluctuation and population distribution of Aedes albopictus in Jiading District， and provide scientific evidence for the prevention and control of dengue fever and other Aedes-borne diseases. Methods In 2020， the mosq-ovitrap method and mosq-ovitrap index （MOI） were used to monitor and evaluate the density of Aedes albopictus in Jiading District. Spatial and temporal distribution of Aedes albopictus was determined. Chi-square test was used for statistical analysis. Results In 2020， the annual average MOI was determined to be 4.10， which was under safety threshold. The seasonal fluctuations showed a unimodal distribution， which peaked in July. The fluctuation trend in urban area was similar to the overall trend， while that in the non-urban area showed a bimodal distribution with peaks in June and August. The density of Aedes albopictus at different monitoring sites varied widely，with the highest MOI （6.64） at Anting town and the lowest MOI （2.09） at Huating town. The distribution of Aedes albopictus in different habitats also varied widely； the highest density was observed in environments as waste collection stations and construction sites， with the highest MOI 33.33 in waste collection stations in peak season. The MOI value of Aedes albopictus in residential areas was significantly higher than that in non-residential areas （χ2 = 6.082， P = 0.014）. Conclusion Aedes albopictus is quite common in Jiading District. In certain areas， Aedes density may exceed the safety threshold from May to September. More targeted mosquito control measures should be implemented in waste collection stations， construction sites and residential areas.
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Objective Based on mosq-ovitrap monitoring method of Aedes albopictus， to determine the spatial and temporal distribution of Aedes albopictus in Songjiang District and provide scientific evidence for prevention and control of mosquito-borne diseases. Methods From May to October， 2018‒2020， density of Aedes albopictus was monitored by using the mosq-ovitrap method. Sub-districts and towns were used as the monitoring units and the difference in mosquito ovitrap index （MOI） was compared by seasons， years and habitats. Results The total number of positive mosquito ovitraps was 1049 in 2018‒2020， and the average MOI was 8.10. Four sub-districts/towns in the urban area and the northern area had the relatively high MOIs. Moreover， MOIs in residential and external environments were higher than other habitats. In addition， MOI of Aedes albopictus decreased over years from 2018 to 2020. Conclusion Aedes albopictus is widely distributed in Songjiang District. Although the number of mosquito decreased over years after the implementation of mosquito control measures， reproduction of mosquito remains excessive in some areas and seasons. It is necessary to perform targeted control measures based on comprehensive monitoring methods.
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Objective @#To estimate the risk threshold of route index（RI）and mosq-ovitrap index（MOI）based on Breteau index（BI）,as supplements for dengue fever risk monitoring in specific habitats. @*Methods @#Two towns and two streets were selected from nine towns（streets）in Jiashan County,and then one village（community）was selected from each of them as a Aedes albopictus monitoring site. The BI,RI and MOI were employed at the same time and area from April to October in the year 2018. Linear regression models were built with RI,MOI and BI to calculate the dengue risk threshold of RI and MOI according to BI. @*Results @#The linear regression model of BI（X）and RI（Y）was Y=0.145+0.662X（P<0.05）,of BI（X）and MOI（Y）was Y=3.423+0.524X（P<0.05）. If BI=5（having risk of transmission of dengue fever）,then RI=3.455（95%CI：1.717-5.198）,MOI=6.043（95%CI：-0.327-12.417）. If BI=10（having risk of outbreak）,then RI=6.765（95%CI：5.018-8.518）,MOI=8.663（95%CI：2.260-15.071）. If BI=20（having risk of epidemic）,then RI=13.385（95%CI：11.326-15.453）,MOI=13.903（95%CI：6.352-21.461）.@*Conclusion @#The dengue fever risk threshold of RI estimated by BI had a narrow 95%CI and could be applied for dengue fever risk assessment,while the risk threshold of MOI had a wide 95%CI and the application value needed further study.