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预防医学  2025, Vol. 37 Issue (12): 1247-1251    DOI: 10.19485/j.cnki.issn2096-5087.2025.12.012
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
2015—2024年温州市猩红热流行特征和时空聚集性分析
李玲, 王黎荔, 张欣悦, 潘琼娇, 李万仓
温州市疾病预防控制中心(温州市卫生监督所),浙江 温州 325000
Epidemiological characteristics and spatial-temporal clustering of scarlet fever in Wenzhou City from 2015 to 2024
LI Ling, WANG Lili, ZHANG Xinyue, PAN Qiongjiao, LI Wancang
Wenzhou Center for Disease Control and Prevention (Wenzhou Institute of Public Health Supervision), Wenzhou, Zhejiang 325000, China
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摘要 目的 了解2015—2024年浙江省温州市猩红热流行特征和时空聚集特征,为猩红热防控提供依据。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2015—2024年温州市猩红热病例个案资料,采用描述性流行病学方法分析猩红热发病时间分布、人群分布和地区分布;采用空间自相关和时空扫描分析猩红热发病时空聚集特征。结果 2015—2024年温州市共报告猩红热病例1 731例,年均报告发病率为2.08/10万,呈下降趋势(AAPC=-11.037%,P<0.05)。4—6月、11月至次年1月为发病高峰,季节指数均>100%。男性猩红热年均报告发病率为2.43/10万,高于女性的1.70/10万(P<0.05)。以≤10岁儿童为主,1 662例占96.01%。年均报告发病率居前三位的县(市、区)依次为鹿城区、瓯海区和泰顺县,分别为7.17/10万、5.18/10万和4.73/10万。空间自相关分析结果显示,2015—2019年和2021—2024年猩红热病例分布存在空间聚集性(Moran's I>0,均P<0.05)。时空扫描分析结果显示,2015—2024年温州市猩红热发病存在1个Ⅰ类聚集区和1个Ⅱ类聚集区,Ⅰ类聚集区以瓯海区梧田街道为中心,覆盖19个乡镇(街道),聚集时间为2015年1月—2019年12月;Ⅱ类聚集区以泰顺县筱村镇为中心,覆盖42个乡镇(街道),聚集时间为2018年4月—2019年6月。结论 2015—2024年温州市猩红热发病总体呈下降趋势,学龄期儿童高发;有明显时空聚集性,4—6月、11月至次年1月为发病高峰,鹿城区、瓯海区和泰顺县需重点防控。
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李玲
王黎荔
张欣悦
潘琼娇
李万仓
关键词 猩红热流行特征时空聚集性    
AbstractObjective To investigate the epidemiological characteristics and spatial-temporal clustering of scarlet fever in Wenzhou City, Zhejiang Province from 2015 to 2024, so as to provide a basis for prevention and control for scarlet fever. Methods The data of scarlet fever cases in Wenzhou City from 2015 to 2024 were collected from the Surveillance System of China Information System for Disease Control and Prevention. Descriptive epidemiological methods were used to analyze the temporal, demographic, and regional distribution characteristics of scarlet fever. Spatial autocorrelation and spatio-temporal scanning analyses were employed to examine the spatial-temporal clustering of scarlet fever. Results A total of 1 731 cases of scarlet fever were reported in Wenzhou City from 2015 to 2024, with an average annual reported incidence of 2.08/105 , showing a declining trend (AAPC=-11.037%, P<0.05). Incidence peaks occurred from April to June and from November to January of the following year, with seasonal indices all exceeding 100%. The average annual reported incidence was higher in males than in females (2.43/105 vs. 1.70/105, P<0.05). The cases were mainly children aged ≤10 years, with 1 662 cases accounting for 96.01%. Lucheng District, Ouhai District and Taishun County had the top three average annual reported incidences of scarlet fever, at 7.17/105, 5.18/105 and 4.73/105, respectively. Spatial autocorrelation analysis showed that, spatial clustering of scarlet fever cases in the periods 2015 to 2019 and 2021 to 2024 (Moran's I>0, all P<0.05). Spatio-temporal scanning analysis identified a primary-type clustering and a secondary-type clustering of scarlet fever in Wenzhou City from 2015 to 2024. The primary-type clustering was centered on Wutian Subdistrict in Ouhai District, covering 19 townships / subdistricts, with a clustering period from January 2015 to December 2019. The secondary-type clustering was centered on Xiaocun Town in Taishun County, covering 42 townships / subdistricts, with a clustering period from April 2018 to June 2019. Conclusions The incidence of scarlet fever in Wenzhou City from 2015 to 2024 showed an overall declining trend, with a high incidence among school-aged children and distinct spatial-temporal clustering. Peaks in cases occurred from April to June and from November to January of the following year. Focused prevention and control efforts are recommended in Lucheng District, Ouhai District, and Taishun County.
Key wordsscarlet fever    epidemiological characteristics    spatial-temporal clustering
收稿日期: 2025-07-21      修回日期: 2025-11-17      出版日期: 2025-12-10
中图分类号:  R515.1  
基金资助:温州市基础性公益科研项目(Y20240876,Y20240887)
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, 王黎荔, 张欣悦, 潘琼娇, 李万仓. 2015—2024年温州市猩红热流行特征和时空聚集性分析[J]. 预防医学, 2025, 37(12): 1247-1251.
LI Ling, WANG Lili, ZHANG Xinyue, PAN Qiongjiao, LI Wancang. Epidemiological characteristics and spatial-temporal clustering of scarlet fever in Wenzhou City from 2015 to 2024. Preventive Medicine, 2025, 37(12): 1247-1251.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.12.012      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I12/1247
[1] 孔德川,蒋先进,邱琪,等.猩红热发病趋势、临床特征和病原学特征的研究进展[J].中华传染病杂志,2022,40(3):189-192.
KONG D C,JIANG X J,QIU Q,et al.Research progress on the incidence trend clinical features and etiologica1 characteristics of scarlet fever[J].Chin J Infect Dis,2022,40(3):189-192.(in Chinese)
[2] 董晓春,李琳,张颖.天津市学校猩红热聚集疫情中A组链球菌检出情况[J].中国学校卫生,2024,45(10):1497-1499.
DONG X C,LI L,ZHANG Y.Detection of group A streptococcus in scarlet fever cluster outbreaks in schools in Tianjin City[J].Chin J Sch Health,2024,45(10):1497-1499.(in Chinese)
[3] 尤元海. 猩红热流行及其影响因素研究进展[J].中华实用儿科临床杂志,2022,37(21):1626-1629.
YOU Y H.Research progress on scarlet fever epidemic and associated factors[J].Chin J Appl Clin Pediatr,2022,37(21):1626-1629.(in Chinese)
[4] LAMAGNI T,GUY R,CHAND M,et al.Resurgence of scarlet fever in England,2014-16:a population-based surveillance study[J].Lancet Infect Dis,2018,18(2):180-187.
[5] BROUWER S,LACEY J A,YOU Y H,et al.Scarlet fever changes its spots[J].Lancet Infect Dis,2019,19(11):1154-1155.
[6] 向媛媛. 全国猩红热发病空间分布特征及贝叶斯时空建模研究[D].兰州:兰州大学,2023.
XIANG Y Y.Spatial distribution characteristics and Bayesian spatiotemporal modeling of scarlet fever incidence in China[D].Lanzhou:Lanzhou University,2023.(in Chinese)
[7] 曾四清. Joinpoint回归模型及其在传染病流行趋势分析中的应用[J].中国卫生统计,2019,36(5):787-791.
ZENG S Q.Joinpoint regression model and its application in the analysis of infectious disease epidemic trends[J].Chin J Health Stat,2019,36(5):787-791.(in Chinese)
[8] 史进梅,赵俊琴,李建国,等.空间自相关方法及其在公共卫生领域的应用[J].中华劳动卫生职业病杂志,2020,38(5):395-400.
SHI J M,ZHAO J Q,LI J G,et al.Spatial autocorrelation and its application in public health field[J].Chin J Ind Hyg Occup Dis,2020,38(5):395-400.(in Chinese)
[9] 李玲,魏晶娇,潘琼娇,等. 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 L,WEI J J,PAN Q J,et al.Spatio-temporal clustering analysis of mumps in Wenzhou City from 2010 to 2023[J].China Prev Med J,2025,37(3):284-287.(in Chinese)
[10] 周丽君,张兴裕,马越,等.前瞻性时空扫描统计量与时空重排扫描统计量在传染病聚集性探测中的适用性探讨[J].现代预防医学,2012,39(5):1068-1070,1077.
ZHOU L J,ZHANG X Y,MA Y,et al.Investigation of application between prospective space-time scan statistics and prospective space-time permutation scan statistics on cluster detection[J].Mod Prev Med,2012,39(5):1068-1070,1077.(in Chinese)
[11] 李克,庞志峰,吴晓虹,等.2005—2023年金华市猩红热流行特征和时空聚集性分析[J].预防医学,2025,37(7):705-709.
LI K,PANG Z F,WU X H,et al.Epidemiological characteristics and spatio-temporal clustering analysis of scarlet fever in Jinhua City from 2005 to 2023[J].China Prev Med J,2025,37(7):705-709.(in Chinese)
[12] LU Q B,WU H C,DING Z Y,et al.Analysis of epidemiological characteristics of scarlet fever in Zhejiang Province,China,2004-2018[J/OL].Int J Environ Res Public Health,2019,16(18)[2025-11-17] .https://doi.org/10.3390/ijerph16183454.
[13] 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:China Medical University,2022.(in Chinese)
[14] 丁哲渊,吴昊澄,吴晨,等.浙江省新型冠状病毒肺炎疫情应急响应期间其他法定传染病监测分析[J].疾病监测,2020,35(8):746-752.
DING Z Y,WU H C,WU C,et al.Surveillance for notifiable communicable diseases in the context of emergency response to COVID-19 in Zhejiang[J].Dis Surveill,2020,35(8):746-752.(in Chinese)
[15] 王乙,王哲,金新叶,等.2010—2023年杭州市猩红热流行病学特征及时空聚集性分析[J].中华疾病控制杂志,2024,28(8):950-955,968.
WANG Y,WANG Z,JIN X Y,et al.Epidemiological characteristics and spatial-temporal clustering of scarlet fever in Hangzhou from 2010 to 2023[J].Chin J Dis Control Prev,2024,28(8):950-955,968.(in Chinese)
[16] 高桂玲,王超,吕锡宏,等.2014—2020年上海市松江区猩红热时空分布特征分析[J].实用预防医学,2023,30(1):16-20.
GAO G L,WANG C,LYU X H,et al.Temporal and spatial distribution characteristics of scarlet fever in Songjiang District of Shanghai,2014-2020[J].Pract Prev Med,2023,30(1):16-20.(in Chinese)
[17] 吴昊澄,林君芬,徐校平,等.广义相加模型拟合气象因素与猩红热发病的关联性[J].预防医学,2016,28(1):5-8,16.
WU H C,LIN J F,XU X P,et al.An analysis on the correlations between the scarlet fever and meteorological factors with generalized additive model[J].China Prev Med J,2016,28(1):5-8,16.(in Chinese)
[18] 殷尚晖,马蒙蒙,冉睿,等.2010–2023年广州市猩红热流行特征分析[J].华南预防医学,2025,51(3):319-322.
YIN S H,MA M M,RAN R,et al.Epidemic characteristics of scarlet fever in Guangzhou,2010-2023[J].South China J Prev Med,2025,51(3):319-322.(in Chinese)
[19] CHEN H J,CHEN Y,SUN B J,et al.Epidemiological study of scarlet fever in Shenyang,China[J/OL].BMC Infect Dis,2019,19(1)[2025-11-17] .https://doi.org/10.1186/s12879-019-4705-9.
[20] 国家卫生健康委办公厅,国家中医药局综合司.关于印发鼠疫等传染病诊疗方案(2023年版)的通知[EB/OL].[2025-11-17] .https://www.nhc.gov.cn/ylyjs/gzdt/202312/7553bd72c9934f4ca72327b361d111be.shtml.
[21] CUI J Y,ZHANG Y W,GE H,et al.Pattems in the incidence of scarlet fever among children aged 0-9 years - China,2010-2019[J].China CDC Weekly,2023,5(34):756-762.
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