上海市松江区2017-2022年白纹伊蚊分布特征及时空聚集性分析  

Distribution characteristics and spatiotemporal aggregation of Aedes albopictus in Songjiang District,Shanghai,China,2017-2022

作　　者：叶独秋 庞博文 蒋露芳[1] 陶骏捷 张驰 李萌[2] 吕锡宏[2] YE Du-qiu;PANG Bo-wen;JIANG Lu-fang;TAO Jun-jie;ZHANG Chi;LI Meng;LYU Xi-hong(School of Public Health,Fudan University,Shanghai 200032,China;Department of Infectious Disease Prevention and Control,Songjiang District Center for Disease Control and Prevention of Shanghai,Shanghai 201620,China)

机构地区：[1]复旦大学公共卫生学院,上海200032 [2]上海市松江区疾病预防控制中心传染病防治科,上海201620

出　　处：《中国媒介生物学及控制杂志》2024年第2期171-176,共6页Chinese Journal of Vector Biology and Control

摘　　要：目的了解上海市松江区白纹伊蚊密度分布及时空聚集性特征,为伊蚊传播疾病的监测预警、风险研判和精准防控提供参考依据。方法收集2017-2022年6-10月上海市松江区17个街道(镇)的媒介伊蚊监测数据,对白纹伊蚊诱蚊诱卵指数(MOI)进行描述分析,分别利用ArcGIS 10.8软件和SaTScan 10.1.2软件,开展空间自相关分析和时空扫描分析。结果松江区白纹伊蚊密度每年先升后降,7-8月达到峰值;年均密度前3位的区域为方松街道、泗泾镇和车墩镇;平均密度最高的生境类型为居民区。2022年白纹伊蚊密度分布具有空间聚集性(Moran’s I=0.139,P=0.047),2018年广富林、岳阳和中山街道,2021年广富林、岳阳街道和洞泾镇,2022年岳阳、中山和永丰街道,白纹伊蚊密度分布均存在局部聚集性;2018年存在白纹伊蚊密度聚集热点,热点为中山街道和车墩镇,2022年存在聚集热点,热点为中山街道、岳阳街道和车墩镇,时空扫描分析得出1个涉及方松、岳阳、永丰、中山街道和车墩镇的一类聚集区(对数似然比值为68.61,相对危险度为2.66,P<0.001)。结论松江区2017-2022年白纹伊蚊密度分布逐渐呈现向中心城区空间聚集的趋势,其中方松、岳阳、永丰、中山街道和车墩镇是白纹伊蚊局部聚集的主要热点区域。Objective To investigate the density distribution and spatiotemporal aggregation of Aedes albopictus in Songjiang District,Shanghai,China,so as to provide a reference for monitoring,early warning,risk analysis,and precise prevention and control of Aedes-borne infectious diseases.Methods Descriptive analyses were performed on Ae.albopictus larvae density data(mosq-ovitrap index,MOI)in 17 sub-districts and towns of Songjiang District of Shanghai from June to October,2017-2022.ArcGIS 10.8 and SaTScan 10.1.2 softwares were used to conduct spatial autocorrelation analysis and spatiotemporal scanning analysis,respectively.Results In 2017-2022,the density of Ae.albopictus in Songjiang District increased first and then decreased every year,with the peak in July and August.The top three regions by annual average density were Fangsong Sub-district,Sijing Town,and Chedun Town,and residential areas had the highest mosquito density among habitats.Spatial aggregation was found in the density distribution of Ae.albopictus in 2022(Moran’s I=0.139,P=0.047);Ae.albopictus density showed local aggregation in Guangfulin,Yueyang,and Zhongshan sub-districts in 2018,in Guangfulin Sub-district,Yueyang Sub-district,and Dongjing Town in 2021,and in Yueyang,Zhongshan,and Yongfeng sub-districts in 2022;the aggregation hotspots in 2018 were observed in Zhongshan Sub-district and Chedun Town;and the aggregation hotspots in 2022 were observed in Zhongshan Sub-district,Yueyang Sub-district,and Chedun Town.Spatiotemporal scanning analysis indicated a class-Ⅰ gathering area involving Fangsong,Yueyang,Yongfeng,and Zhongshan sub-districts and Chedun Town(log-likelihood ratio was 68.61,relative risk was 2.66,P<0.001).Conclusion The density distribution of Ae.albopictus was gradually aggregating towards central urban areas in Songjiang District from 2017 to 2022,and Fangsong,Yueyang,Yongfeng,and Zhongshan sub-districts and Chedun Town were the main areas of local aggregation.

关 键 词：白纹伊蚊 诱蚊诱卵指数 分布特征 空间自相关 时空聚集性 

分 类 号：R384.1[医药卫生—医学寄生虫学]