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预防医学  2025, Vol. 37 Issue (3): 284-287    DOI: 10.19485/j.cnki.issn2096-5087.2025.03.015
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
2010—2023年温州市流行性腮腺炎时空聚集性分析
李玲, 魏晶娇, 潘琼娇, 李万仓, 王坚
温州市疾病预防控制中心(温州市卫生监督所),浙江 温州 325000
Spatio-temporal clustering analysis of mumps in Wenzhou City from 2010 to 2023
LI Ling, WEI Jingjiao, PAN Qiongjiao, LI Wancang, WANG Jian
Wenzhou Center for Disease Control and Prevention (Wenzhou Institute of Health Inspection), Wenzhou, Zhejiang 325000, China
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摘要 目的 了解2010—2023年浙江省温州市流行性腮腺炎(流腮)时空聚集性,为完善流腮防控策略提供依据。方法 通过中国疾病预防控制信息系统监测报告管理系统收集2010—2023年温州市流腮病例资料,采用空间自相关和时空扫描分析流腮的时空聚集特征。结果 2010—2023年温州市报告流腮病例20 455例,年均发病率为17.54/10万。男性12 919例,女性7 536例,男女比为1.71∶1。5~<10岁组发病率最高,为135.29/10万。2010—2023年流腮发病率呈下降趋势(P<0.05),从2010年的46.82/10万下降至2023年的3.59/10万。2010—2012年发病高峰为5—7月和11月至次年1月,2013年开始冬季发病高峰不明显,2020年后发病无季节性趋势。空间自相关分析结果显示,除2018年外,其他年份流腮发病存在空间相关性(Moran's I值均>0,均P<0.05);高-高聚集区主要集中在鹿城区、龙湾区、瓯海区、苍南县和瑞安市。时空扫描分析结果显示,Ⅰ类聚集区以瓯海区南白象街道为中心,覆盖50个乡镇(街道),聚集时间为2010年4月—2013年8月;Ⅱ类聚集区以苍南县藻溪镇为中心,覆盖24个乡镇(街道),聚集时间为2010年1月—2013年6月。结论 2010—2023年温州市流腮发病率呈下降趋势,市区、苍南县和瑞安市为聚集地区。
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李玲
魏晶娇
潘琼娇
李万仓
王坚
关键词 流行性腮腺炎空间自相关时空扫描    
AbstractObjective To identify the spatio-temporal clustering analysis of mumps in Wenzhou City, Zhejiang Province from 2010 to 2023, so as to provide the basis for improving mumps prevention and control strategies. Methods Data of mumps cases in Wenzhou City from 2010 to 2023 were collected from the Monitoring and Reporting Management System of Chinese Disease Prevention and Control Information System. The spatio-temporal clustering characteristics of mumps incidence were identified using spatial autocorrelation analysis and spatio-temporal scan analysis. Results A total of 20 455 mumps cases were reported in Wenzhou City from 2010 to 2023, with an average annual incidence of 17.54/105. There were 12 919 male and 7 536 female cases, with a male-to-female ratio of 1.71∶1. The children aged 5-<10 years had the highest incidence of mumps at 135.29/105. The incidence of mumps showed a downward trend from 46.82/105 in 2010 to 3.59/105 in 2023 (P<0.05). The incidence of mumps peaked from May to July and from November to January during 2010 and 2012, the winter peak became less evident after 2013, and no seasonal trends were observed after 2020. Spatial autocorrelation analysis showed there was a positive spatial correlation of mumps of other years, with the exception of 2018 (all Moran's I >0, all P<0.05). Lucheng District, Longwan District, Ouhai District, Cangnan County and Rui'an City were high-high clustering sites. Spatio-temporal scan analysis showed that the primary clustering area was centered in Nanbaixiang Street, Ouhai District, covering 50 towns (streets), with the clustering time from April 2010 to August 2013; the secondary clustering area was centered in Zaoxi Town, Cangnan County, covering 24 towns (streets), with the clustering time from January 2010 to June 2013. Conclusions The incidence of mumps in Wenzhou City from 2010 to 2023 showed a downward trend. The urban areas, Cangnan County and Rui'an City were the clustering areas.
Key wordsmumps    spatial autocorrelation    spatio-temporal scanning
收稿日期: 2024-08-27      修回日期: 2024-12-26      出版日期: 2025-03-10
中图分类号:  R183  
基金资助:温州市基础性公益科研项目(Y20240876)
作者简介: 李玲,硕士,副主任医师,主要从事传染病监测与防制工作
通信作者: 李万仓,E-mail:315554692@qq.com   
引用本文:   
李玲, 魏晶娇, 潘琼娇, 李万仓, 王坚. 2010—2023年温州市流行性腮腺炎时空聚集性分析[J]. 预防医学, 2025, 37(3): 284-287.
LI Ling, WEI Jingjiao, PAN Qiongjiao, LI Wancang, WANG Jian. Spatio-temporal clustering analysis of mumps in Wenzhou City from 2010 to 2023. Preventive Medicine, 2025, 37(3): 284-287.
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http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.03.015      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I3/284
[1] RUBIN S,ECKHAUS M,RENNICK L J,et al.Molecular biology,pathogenesis and pathology of mumps virus[J].J Pathol,2015,235(2):242-252.
[2] 王健,秦伟,顾君,等.2018—2019年安徽省某学校一起流行性腮腺炎暴发现场调查及疫苗保护效果评估[J].疾病监测,2020,35(2):177-181.
WANG J,QIN W,GU J,et al.Field investigation of a mumps outbreak and vaccination effect evaluation in a school in Anhui,2018-2019[J].Dis Surveill,2020,35(2):177-181.(in Chinese)
[3] 郭立春,何寒青,严睿,等.浙江省2010年含流行性腮腺炎成分疫苗强化免疫效果分析[J].中国疫苗和免疫,2016,22(4):424-428.
GUO L C,HE H Q,YAN R,et al.Effect of a supplementary immunization activity of mumps-containing vaccine in Zhejiang Province,2010[J].Chin J Vaccines Immunization,2016,22(4):424-428.(in Chinese)
[4] 姚亚萍,严睿,陶明勇,等.2008—2019年浙江省流行性腮腺炎时空分布特征[J].预防医学,2022,34(1):17-21.
YAO Y P,YAN R,TAO M Y,et al.Spatio-temporal distribution characteristics of mumps in Zhejiang Province from 2008 to 2019[J].China Prev Med J,2022,34(1):17-21.(in Chinese)
[5] 姜庆五,赵飞.空间自相关分析方法在流行病学中的应用[J].中华流行病学杂志,2011,32(6):539-546.
JIANG Q W,ZHAO F.Application of spatial autocorrelation method in epidemiology[J].Chin J Epidemiol,2011,32(6):539-546.(in Chinese)
[6] 董选军,滕世助,余运贤,等.扫描统计量在流行性腮腺炎聚集性判断的应用[J].中国卫生统计,2014,31(5):863-864.
DONG X J,TENG S Z,YU Y X,et al.Application of the scan statistic in the mumps aggregation judgment[J].Chin J Health Stat,2014,31(5):863-864.(in Chinese)
[7] 杨宏,马超,丁亚兴,等.2012—2019年中国不同免疫策略地区流行性腮腺炎发病特征[J].中国疫苗和免疫,2021,27(3):242-245.
YANG H,MA C,DING Y X,et al.Comparison of mumps incidence in areas of China with different immunization strategies,2012-2019[J].Chin J Vaccines Immunization,2021,27(3):242-245.(in Chinese)
[8] 周祖木,马洪波,蔡圆圆,等.温州市2006—2009年流行性腮腺炎流行特征分析[J].国际流行病学传染病学杂志,2010,37(6):379-382.
ZHOU Z M,MA H B,CAI Y Y,et al.Characteristic analysis of mumps in Wenzhou city in 2006-2009[J].Inter J Epidemiol Infect Dis,2010,37(6):379-382.(in Chinese)
[9] 庞红,施玮,刘小祥,等.上海市长宁区MMR疫苗强化免疫对流行性腮腺炎抗体水平的影响[J].上海预防医学,2021,33(12):1131-1135.
PANG H,SHI W,LIU X X,et al.Mumps antibody levels after MMR vaccination in a population in Changning District of Shanghai[J].Shanghai J Prev Med,2021,33(12):1131-1135.(in Chinese)
[10] 江师清. 中国大陆地区新型冠状病毒肺炎疫情的SEIR建模及疫情对其他法定传染病影响的研究[D].沈阳:中国医科大学,2022.
JIANG S Q.A study of SEIR modeling of COVID-19 epidemic in Chinese mainland and the impact of the epidemic on other notifiable infectious diseases[D].Shenyang:Chinese Medical Sciences University,2022.(in Chinese)
[11] PENG Y,WANG P,KONG D G,et al.Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan,China,2005-2019[J/OL].Epidemiol Infect,2023,151[2024-12-26].https://doi.org/10.1017/S0950268823000304.
[12] 李澄宇,张金荣,董智强,等.2008—2022年广东省广州市流行性腮腺炎流行特征分析[J].疾病监测,2024,39(7):846-851.
LI C Y,ZHANG J R,DONG Z Q,et al.Epidemiological characteristics of mumps in Guangzhou,Guangdong,2008-2022[J].Dis Surveill,2024,39(7):846-851.(in Chinese)
[13] 许宇翔,孔德亮,吕玉玲,等.一起山区小学流行性腮腺炎暴发疫情调查与疫苗保护效果[J].中国学校卫生,2023,44(11):1716-1719.
XU Y X,KONG D L,LYU Y L,et al.Field investigation of a mumps outbreak and evaluation of vaccine effectiveness in a remote village school[J].Chin J Sch Health,2023,44(11):1716-1719.(in Chinese)
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