Chinese Journal of Vector Biology and Control ›› 2022, Vol. 33 ›› Issue (5): 710-714.DOI: 10.11853/j.issn.1003.8280.2022.05.018

• Investigation • Previous Articles     Next Articles

Influencing factors for mosquito breeding in underground garages in winter in Jing'an district,Shanghai,China

CHEN Hong1, SHAN Ning1, ZHOU Yi-bin2   

  1. 1. Vector and Parasitic Disease Control Section, Shanghai Jing'an District Center for Disease Control and Prevention, Shanghai 200072, China;
    2. Vector Control Section, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
  • Received:2022-05-29 Online:2022-10-20 Published:2022-10-14
  • Supported by:
    Key Young Talents Training Program for Shanghai Disease Control and Prevention (No.21QNGG27)

上海市静安区冬季地下车库蚊虫孳生影响因素研究

陈红1, 单宁1, 周毅彬2   

  1. 1. 上海市静安区疾病预防控制中心病媒生物与寄生虫防治科, 上海 200072;
    2. 上海市疾病预防控制中心传染病防治所, 上海 200336
  • 通讯作者: 周毅彬,E-mail:zhouyibin@scdc.sh.cn
  • 作者简介:陈红,女,主管医师,主要从事病媒生物防制工作,E-mail:chenhong@jingancdc.net;单宁,男,主管医师,主要从事病媒生物防制工作,E-mail:shanning@jingancdc.net
  • 基金资助:
    上海市疾病预防控制青年骨干人才培养项目(21QNGG27)

Abstract: Objective To investigate influencing factors for mosquito breeding in underground garages in winter,and to provide a basis for mosquito control.Methods From January to February 2021,we selected underground garages from the subdistricts or towns of Jing'an district,Shanghai,China,and investigated mosquito breeding in the garages and long-term ponding from rainwater wells and water-collecting wells in the garages by using the mosquito larval spoon method and resting mosquito collection method.Excel 16.0 and SPSS 20.0 softwares were used to process and analyze the data with the Chi-square test and forward stepwise multivariable logistic regression analysis (variables with P ≤ 0.05 were included).Results A total of 58 underground garages and 470 sites of ponding were investigated.The positive rate was 46.55%.The larval breeding rate in ponding was 14.26%.Among the positive sites of ponding,65 harbored Culex pipiens larvae and 2 harbored Aedes albopictus larvae.Thirty-five adult mosquitoes were captured,all belonging to Cx.pipiens pallens,with a fat-body development rate of 31.43% and an ovarian development rate of 8.57%.In the underground garages,the average temperature was (14.61±2.69)℃,and the average humidity was (51.41±18.02)%.The multivariable logistic regression analysis showed that an old construction age (underground garages built in or before 2005 versus newer ones built during 2011 to 2020[odds ratio (OR)=3.12,95% confidence interval (CI):1.35-7.26],property management cost more than 5 yuan/month·m2(OR=3.58,95%CI:1.17-10.93),good daylighting or lighting (OR=0.43,95%CI:0.23-0.80),and the presence of adult mosquito activities (OR=6.51,95%CI:1.82-23.32) were risk factors for the breeding of mosquito larvae.Conclusion Cx.pipiens and Ae.albopictus breeding are still present and develop in winter in the underground garages of Jing'an district,Shanghai.Daylighting/lighting,adult mosquito activities,and old buildings are influencing factors for larvae breeding.High-tech residence with high property management fees also provides favorable conditions for mosquito breeding and development in winter because of the use of constant temperature and humidity facilities.

Key words: Mosquitoes in winter, Underground garage, Breeding rate, High-tech residence

摘要: 目的 明确冬季地下车库蚊虫孳生的影响因素,为蚊虫控制提供依据。方法 2021年1-2月期间,在上海市静安区以街道(镇)为单位选择地下车库雨水井、集水井等长期积水,采用蚊幼虫勺捕法和栖息蚊虫捕捉法调查蚊虫孳生情况及其影响因素。应用Excel 16.0和SPSS 20.0软件处理、分析数据,采用χ2检验进行单因素分析,采用逐步向前logistic回归进行多因素分析,变量引入标准为P≤0.05。结果 共调查地下车库58个,积水470处,场所阳性率为46.55%,积水幼蚊孳生率为14.26%;查见积水中65处为库蚊幼虫,2处为白纹伊蚊幼虫。捕获成蚊35只,均为淡色库蚊,脂肪体发育率31.43%,卵巢发育率8.57%。地下车库平均温度为(14.61±2.69) ℃,平均相对湿度为(51.41±18.02)%,多因素logistic回归分析显示,相对于2011-2020年期间新建地下车库,建筑年代为2005年及以前的地下车库[比值比(OR)=3.12,95%CI:1.35~7.26]、所在物业物业费>5.00元/(月∙m2)(OR=3.58,95%CI:1.17~10.93)、采光/照明明亮(OR=0.43,95%CI:0.23~0.80)、周围有成蚊活动(OR=6.51,95%CI:1.82~23.32)等是幼蚊孳生的危险因素。结论 上海市静安区地下车库冬季仍有库蚊和白纹伊蚊存活、发育,车库内的采光/照明、有成蚊活动和建筑时间长是幼蚊孳生的影响因素,收取较高物业费的科技住宅,也因为恒温、恒湿等设施的使用为冬季蚊虫存活和发育提供了有利条件。

关键词: 冬季蚊虫, 地下车库, 孳生率, 科技住宅

CLC Number: