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.
[1] Benedict MQ,Levine RS,Hawley WA,et al.Spread of the tiger:Global risk of invasion by the mosquito Aedes albopictus[J].Vector-Borne Zoonotic Dis,2007,7(1):76-85.DOI:10.1089/vbz.2006.0562.
[2] Li JT.Advances in prevention and control for dengue fever[J].J Third Mil Med Univ,2019,41(19):1902-1907.DOI:10.16016/j.1000-5404.201909095.(in Chinese) 李晋涛.登革热防治研究进展[J].第三军医大学学报,2019,41(19):1902-1907.DOI:10.16016/j.1000-5404.201909095.
[3] Yang SR,Liu QY.Trend in global distribution and spread of Aedes albopictus[J].Chin J Vector Biol Control,2013,24(1):1-4.(in Chinese) 杨舒然,刘起勇.白纹伊蚊的全球分布及扩散趋势[J].中国媒介生物学及控制杂志,2013,24(1):1-4.
[4] Wu F.A study on the potential distribution of Aedes albopictus and risk forecasting for future epidemics of dengue in China[D].Beijing:Chinese Center for Disease Control and Prevention,2009.(in Chinese) 吴凡.中国白纹伊蚊的分布和影响因素及登革热的风险评估研究[D].北京:中国疾病预防控制中心,2009.
[5]
[6]
[7]
[8] Lyu XH,Guo XQ,Fei SJ,et al.Surveillance of the dengue vector Aedes larvae in Songjiang District,Shanghai,China,2017-2018[J].Chin J Vector Biol Control,2020,31(1):78-82.DOI:10.11853/j.issn.1003.8280.2020.01.016.(in Chinese) 吕锡宏,郭晓芹,费胜军,等.上海市松江区2017-2018年登革热媒介伊蚊幼蚊监测分析[J].中国媒介生物学及控制杂志,2020,31(1):78-82.DOI:10.11853/j.issn.1003.8280.2020.01.016.
[9] State Administration for Market Regulation,Standardization Administration of the people's Republic of China.GB/T 23797-2020Surveillance methods for vector density-Mosquito[S].Beijing:Standards Press of China,2020.(in Chinese) 国家市场监督管理总局,国家标准化管理委员会.GB/T 23797-2020病媒生物密度监测方法蚊虫[S].北京:中国标准出版社,2020.
[10] Zhang JH,Yang RN,He SN,et al.Spatial clustering analysis of scarlet fever incidence in China from 2016 to 2020[J].J South Med Univ,2023,43(4):644-648.DOI:10.12122/j.issn.1673-4254.2023.04.19.(in Chinese) 张佳豪,杨若男,贺舒凝,等.2016-2020年中国猩红热发病的空间聚集性分析[J].南方医科大学学报,2023,43(4):644-648.DOI:10.12122/j.issn.1673-4254.2023.04.19.
[11] Fan JY,Zhu WP,Qi H,et al.Spatiotemporal characteristics of influenza cases in Pudong New Area,Shanghai,2019-2021[J].Dis Surveill,2023,38(6):689-693.DOI:10.3784/jbjc.202207200329.(in Chinese) 范静宜,朱渭萍,齐慧,等.2019-2021年上海市浦东新区流行性感冒病例时空特征分析[J].疾病监测,2023,38(6):689-693.DOI:10.3784/jbjc.202207200329.
[12] Liu MW,Sun Z,Kao QJ,et al.Spatiotemporal distribution of dengue fever in Hangzhou,Zhejiang,2017-2019[J].Dis Surveill,2022,37(4):481-486.DOI:10.3784/jbjc.202106300379.(in Chinese) 刘牧文,孙昼,考庆君,等.2017-2019年浙江省杭州市登革热流行特征和时空聚集性分析[J].疾病监测,2022,37(4):481-486.DOI:10.3784/jbjc.202106300379.
[13] Yao N,Wang Q,Zhou CB.Characteristics of spatial-temporal distribution of Japanese encephalitis in Chongqing City of China from 2007 to 2015[J].Chin J Viral Dis,2018,8(2):135-139.DOI:10.16505/j.2095-0136.2018.0032.(in Chinese) 姚宁,王青,周春碚.重庆市2007-2015年流行性乙型脑炎发病和空间自相关分析[J].中国病毒病杂志,2018,8(2):135-139.DOI:10.16505/j.2095-0136.2018.0032.
[14] Huang AD,Tang L,Wang XQ,et al.Hepatitis E incidence trends and spatial-temporal clustering in China,2011-2021[J].Chin J Vacc Immun,2022,28(4):417-421.DOI:10.19914/j.CJVI.2022080.(in Chinese) 黄澳迪,唐林,王晓琪,等.中国2011-2021年戊型病毒性肝炎发病趋势和时空聚集性[J].中国疫苗和免疫,2022,28(4):417-421.DOI:10.19914/j.CJVI.2022080.
[15] Li T,He JG,Yang CH,et al.A comparative study on SaTScan and FleXScan software for spatial clustering analysis regarding the incidence of pulmonary tuberculosis[J].Chin J Epidemiol,2020,41(2):207-212.DOI:10.3760/cma.j.issn.0254-6450.2020.02.013.(in Chinese) 李婷,何金戈,杨长虹,等.SaTScan与FleXScan软件空间扫描统计量法在肺结核疫情空间聚集性研究中的应用比较[J].中华流行病学杂志,2020,41(2):207-212.DOI:10.3760/cma.j.issn.0254-6450.2020.02.013.
[16] Luo YJ,Guo CC,Guan CH.Epidemiological characteristics and spatiotemporal clustering of hand,foot and mouth disease in Jiaojiang District of Taizhou City,2012-2021[J].Pract Prev Med,2023,30(6):700-703.DOI:10.3969/j.issn.1006-3110.2023.06.013.(in Chinese) 罗永军,郭聪聪,贯长辉.2012-2021年台州市椒江区手足口病流行病学特征及时空聚集性分析[J].实用预防医学,2023,30(6):700-703.DOI:10.3969/j.issn.1006-3110.2023.06.013.
[17] Zhu W,Wang X,Liu XY,et al.Monitoring of Aedes albopictus with mosq-ovitraps in Xuhui District of Shanghai[J].Chin J Hyg Insect Equip,2020,26(2):135-138.DOI:10.19821/j.1671-2781.2020.02.012.(in Chinese) 朱伟,王现,刘翔宇,等.上海市徐汇区白纹伊蚊诱卵器法监测分析[J].中华卫生杀虫药械,2020,26(2):135-138.DOI:10.19821/j.1671-2781.2020.02.012.
[18] Mo DH,Zhu MH,Liu LJ,et al.Community surveillance on Aedes albopictus with ovitraps from 2017 to 2020 in Minhang District of Shanghai[J].Chin J Hyg Insect Equip,2023,29(1):21-24.DOI:10.19821/j.1671-2781.2023.01.007.(in Chinese) 莫旦红,朱敏慧,刘丽军,等.2017-2020年上海市闵行区诱蚊诱卵器法监测社区白纹伊蚊的情况调查[J].中华卫生杀虫药械,2023,29(1):21-24.DOI:10.19821/j.1671-2781.2023.01.007.
[19] Pang BW,Liu HX,Lyu XH,et al.Spatial and temporal distribution of Aedes albopictus monitored by mosq-ovitrap in Songjiang District of Shanghai in 2018-2020[J].Shanghai J Prev Med,2022,34(2):101-104.DOI:10.19428/j.cnki.sjpm.2022.21434.(in Chinese) 庞博文,刘洪霞,吕锡宏,等.2018-2020年上海市松江区诱蚊诱卵器法监测白纹伊蚊的结果[J].上海预防医学,2022,34(2):101-104.DOI:10.19428/j.cnki.sjpm.2022.21434.
[20] Chen LJ,Hu YK,Pang YW,et al.Temporal and spatial changes of Aedes albopictus habitats in Zhejiang,Fujian and Guangdong based on climatic factors[J].J Hangzhou Norm Univ (Nat Sci Ed) ,2019,18(6):642-650.DOI:10.3969/j.issn.1674-232X.2019.06.014.(in Chinese) 陈良娟,胡越凯,庞毓雯,等.基于气候因子的浙闽粤白纹伊蚊生境时空变迁研究[J].杭州师范大学学报(自然科学版),2019,18(6):642-650.DOI:10.3969/j.issn.1674-232X.2019.06.014.