Please wait a minute...
文章检索
预防医学  2025, Vol. 37 Issue (9): 945-949    DOI: 10.19485/j.cnki.issn2096-5087.2025.09.017
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
2015—2024年绍兴市流行性感冒时空聚集性分析
马珊珊, 赵棋锋, 马岩, 王吉玲, 陈海苗, 方益荣
绍兴市疾病预防控制中心,浙江 绍兴 312000
Spatio-temporal clustering analysis of influenza in Shaoxing City from 2015 to 2024
MA Shanshan, ZHAO Qifeng, MA Yan, WANG Jiling, CHEN Haimiao, FANG Yirong
Shaoxing Center for Disease Control and Prevention, Shaoxing, Zhejiang 312000, China
全文: PDF(1270 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 了解2015—2024年浙江省绍兴市流行性感冒(流感)时空聚集特征,为制定流感防控策略提供依据。方法 通过中国疾病预防控制信息系统传染病监测报告系统收集2015—2024年绍兴市流感病例资料,描述性分析流感流行特征;采用空间自相关和时空扫描分析流感时空聚集特征。结果 2015—2024年绍兴市报告流感病例328 759例,年均报告发病率为639.90/10万,总体呈上升趋势(AAPC=68.95%,P<0.05)。12月至次年2月为发病高峰,193 051例占58.72%。男性165 408例,女性163 351例,男女比为1.01∶1;0~<15岁儿童青少年为高发人群;职业以学生为主,113 589例占34.55%。柯桥区、嵊州市和越城区流感年均报告发病率居前三位,分别为995.64/10万、734.66/10万和687.44/10万。空间自相关分析结果显示,2015—2024年绍兴市有155个高-高聚集区,从嵊州市中部的局部聚集逐步扩大至柯桥区,并向越城区蔓延。时空扫描分析结果显示,2023年11月—2024年2月,以柯桥区柯桥街道为中心,覆盖越城区和柯桥区11个乡镇(街道)的流感时空聚集性最强;2015—2018年流感Ⅰ类聚集区集中在新昌县和嵊州市,2019年后逐渐转向越城区和柯桥区,聚集时间主要为11月至次年2月。结论 2015—2024年绍兴市流感发病呈上升趋势,发病存在明显时空聚集性,聚集地区从中部的嵊州市扩大至北部的柯桥区和越城区,聚集时间主要为11月至次年2月。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
马珊珊
赵棋锋
马岩
王吉玲
陈海苗
方益荣
关键词 流行性感冒时空聚集性空间自相关时空扫描    
AbstractObjective To investigate the spatio-temporal clustering characteristics of influenza in Shaoxing City, Zhejiang Province from 2015 to 2024, so as to provide the basis for formulating influenza prevention and control strategies. Methods Influenza case data in Shaoxing City from 2015 to 2024 were collected through the Infectious Disease Surveillance Reporting System of the Chinese Disease Prevention and Control Information System. Descriptive epidemiological methods analyses were used to analyze the epidemiological characteristics of influenza. Spatial autocorrelation and spatio-temporal scanning were used to analyze the spatio-temporal clustering characteristics of influenza. Results A total of 328 759 influenza cases were reported in Shaoxing City from 2015 to 2024, with an average annual reported incidence of 639.90/105, which showed an upward trend (AAPC=68.95%, P<0.05). The peak incidence period was from December to February of the following year, with 193 051 cases reported, accounting for 58.72%. There were 165 408 male cases and 163 351 female cases, with a male-to-female ratio of 1.01∶1. Children and adolescents aged 0-<15 years constituted the high-incidence population, while students represented the predominant occupational category, comprising 113 589 cases (34.55%). Keqiao District, Shengzhou City, and Yuecheng District had the top three average annual reported incidence of influenza, at 995.64/105, 734.66/105, and 687.44/105, respectively. Spatial autocorrelation analysis showed that, there were 155 high-high aggregation areas in Shaoxing City from 2015 to 2024, which gradually expanded from the local aggregation in the central part of Shengzhou City to Keqiao District and then spread to Yuecheng District. Spatio-temporal scanning analysis showed that, from November 2023 to February 2024, the strongest spatio-temporal clustering of influenza centered on Keqiao Street in Keqiao District, covering 11 towns (streets) in Yuecheng District and Keqiao District. From 2015 to 2018, the primary-type clustering of influenza was mainly concentrated in Xinchang County and Shengzhou City. After 2019, they gradually shifted to Yuecheng District and Keqiao District, with the main clustering period being from November to February of the following year. Conclusions The incidence of influenza in Shaoxing City from 2015 to 2024 showed an upward trend, with obvious spatio-temporal clustering. The clustering area expanded from Shengzhou City in the central region to Keqiao District and Yuecheng District in the northern region, mainly clustering from November to February of the following year.
Key wordsinfluenza    spatio-temporal clustering    spatial autocorrelation    spatio-temporal scanning
收稿日期: 2025-05-22      修回日期: 2025-08-18      出版日期: 2025-09-10
中图分类号:  R511.7  
作者简介: 马珊珊,本科,主管医师,主要从事呼吸道传染病防控工作
通信作者: 方益荣,E-mail:fyr2015@126.com   
引用本文:   
马珊珊, 赵棋锋, 马岩, 王吉玲, 陈海苗, 方益荣. 2015—2024年绍兴市流行性感冒时空聚集性分析[J]. 预防医学, 2025, 37(9): 945-949.
MA Shanshan, ZHAO Qifeng, MA Yan, WANG Jiling, CHEN Haimiao, FANG Yirong. Spatio-temporal clustering analysis of influenza in Shaoxing City from 2015 to 2024. Preventive Medicine, 2025, 37(9): 945-949.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.09.017      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I9/945
[1] IULIANO A D,ROGUSKI K M,CHANG H H,et al.Estimates of global seasonal influenza-associated respiratory mortality:a modelling study[J].Lancet,2018,391(10127):1285-1300.
[2] LI L,LIU Y N,WU P,et al.Influenza-associated excess respiratory mortality in China,2010-15:a population-based study[J].Lancet Public Health,2019,4(9):473-481.
[3] 程伟,周晓燕,余昭,等.2016—2019年浙江省流行性感冒超额死亡率分析[J].预防医学,2022,34(9):865-869.
CHEN W,ZHOU X Y,YU Z,et al.Influenza-associated excess mortality in Zhejiang Province from 2016 to 2019[J].China Prev Med J,2022,34(9):865-869.(in Chinese)
[4] 段玮,周晓芳,段丽忠,等.基于传染病症状监测数据的时间序列和时空聚集性[J].中华疾病控制杂志,2025,29(3):332-339.
DUAN W,ZHOU X F,DUAN L Z,et al.Research on predictive analysis methods for symptom monitoring based on time seriesn and spatio-temporal aggregation detection[J].Chin J Dis Control Prev,2025,29(3):332-339.(in Chinese)
[5] 黄峥强,蔡少健,詹美蓉,等.福建省2010—2023年流行性感冒的流行特征及时空特征[J].中华疾病控制杂志,2025,29(2):193-198.
HUANG Z Q,CAI S J,ZHAN M R,et al.Epidemiological charactics and spatiotemporal analysis of influenza in Fujian Province,from 2010 to 2023[J].Chin J Dis Control Prev,2025,29(2):193-198.(in Chinese)
[6] 王远航,富小飞,亓云鹏,等.嘉兴市流行性感冒时空聚集性分析[J].预防医学,2025,37(1):55-58.
WANG Y H,FU X F,QI Y P,et al.Spatio-temporal clustering analysis of influenza in Jiaxing City[J].China Prev Med J,2025,37(1):55-58.(in Chinese)
[7] 国家卫生健康委办公厅,国家中医药管理局办公室.流行性感冒诊疗方案(2019年版)[J].中国病毒病杂志,2020,10(3):164-168.
General Office of the National Health Commission,Office of Nation Administration of Traditional Chinese Medicine.Guidelines for diagnosis and treatment of influenza(2019 version)[J].Chin J Viral Dis,2020,10(3):164-168.(in Chinese)
[8] 杜卓雯,姚星妹,周裕林.非药物干预措施对呼吸道病毒感染影响研究进展[J].中国公共卫生,2023,39(12):1585-1589.
DU Z W,YAO X M,ZHOU Y L.Effect of non-pharmaceutical interventions on respiratory tract virus infection:a review on research progress[J].Chin J Public Health,2023,39(12):1585-1589.(in Chinese)
[9] LEI H,XU M D,WANG X,et al.Nonpharmaceutical interventions used to control COVID-19 reduced seasonal influenza transmission in China[J].J Infect Dis,2020,222(11):1780-1783.
[10] 郑霄雁,官陈平,方海银,等.2017—2022年福州市流行性感冒流行特征分析[J].中国病毒病杂志,2023,13(3):221-225.
ZHENG X Y,GUAN C P,FANG H Y,et al.Epidemiological characteristics of influenza in Fuzhou city in 2017-2022[J].Chin J Viral Dis,2023,13(3):221-225.(in Chinese)
[11] 王璇,刘社兰,曹艳丽,等.2013—2022年浙江省流行性感冒暴发疫情流行特征[J].预防医学,2023,35(8):645-648.
WANG X,LIU D L,CAO Y L,et al.Epidemiological characteristics of influenza outbreaks in Zhejiang Province from 2013 to 2022[J].China Prev Med J,2023,35(8):645-648.(in Chinese)
[12] 魏柯雯,刘海鹏,赵耀,等.2022—2024年流感流行季北京市房山区中小学生流感疫苗接种效果评价[J].首都公共卫生,2024,18(6):352-355.
WEI K W,LIU H P,ZHAO Y,et al.Effectiveness evaluation of influenza vaccine among primary and secondary school students during 2022–2024 influenza season in Fangshan district of Beijing[J].Cap J Public Health,2024,18(6):352-355.(in Chinese)
[13] 奕天飞,沈鹏,平建明,等.2017—2021年鄞州区流行性感冒时空聚集性分析[J].预防医学,2023,35(9):741-745,751.
YI F T,SHEN P,PING J M,et al.Spatial-temporal clustering analysis of influenza incidence in Yinzhou District from 2017 to 2021[J].China Prev Med J,2023,35(9):741-745,751.(in Chinese)
[1] 胡晓强, 刘艳, 周思凡, 张子喆, 王雨达, 沈建勇. 2014—2023年湖州市流行性感冒流行特征分析[J]. 预防医学, 2025, 37(9): 959-962.
[2] 李克, 庞志峰, 吴晓虹, 唐慧玲. 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.
[3] 马莹, 张文霞, 马金宇, 董军强, 王秀琴, 李文玉, 赵立华. 2014—2023年宁夏流行性感冒时空聚集性分析[J]. 预防医学, 2025, 37(6): 608-611.
[4] 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.
[5] 王远航, 富小飞, 亓云鹏, 刘杨, 周晚玲, 郭飞飞. 嘉兴市流行性感冒时空聚集性分析[J]. 预防医学, 2025, 37(1): 55-58.
[6] 王栗菲, 孙明希, 鹿燕青, 李森, 寿钧, 孟祥杰. 余杭区流行性感冒流行特征分析[J]. 预防医学, 2024, 36(7): 626-629.
[7] 周簪荣, 魏芳, 方兴林, 邹华, 周莉芳. 2013—2022年浙江省硅肺发病时空分析[J]. 预防医学, 2024, 36(12): 1070-1072,1077.
[8] 丰燕, 徐增豪, 凌锋, 金家列, 王笑笑, 尚晓鹏, 孙继民. 应用移动流行区间法分析2012—2023年浙江省流行性感冒流行强度[J]. 预防医学, 2024, 36(10): 829-833.
[9] 奕天飞, 沈鹏, 平建明, 张俊锋, 孙烨祥. 2017—2021年鄞州区流行性感冒时空聚集性分析[J]. 预防医学, 2023, 35(9): 741-745.
[10] 王璇, 刘社兰, 曹艳丽, 孙琬琬, 丰燕, 凌锋. 2013—2022年浙江省流行性感冒暴发疫情流行特征[J]. 预防医学, 2023, 35(8): 645-648.
[11] 石鑫, 许军, 舒畅, 冷焱. 黑龙江省老年人群流行性感冒流行特征[J]. 预防医学, 2023, 35(3): 250-252,261.
[12] 侯志刚, 刘杨, 葛锐, 亓云鹏, 富小飞. 嘉兴市70岁及以上老年人接种流行性感冒疫苗的保护效果评价[J]. 预防医学, 2023, 35(12): 1033-1036.
[13] 徐玲, 阮晓倩. 上城区手足口病时空聚集性分析[J]. 预防医学, 2023, 35(11): 989-991,1012.
[14] 程伟, 周晓燕, 余昭, 刘社兰, 潘金仁, 凌锋, 陈恩富. 2016—2019年浙江省流行性感冒超额死亡率分析[J]. 预防医学, 2022, 34(9): 865-869.
[15] 管仲阳, 孙立信, 曹一, 姜国艳, 严海洋, 祁耀. 2016—2020年盐城市隐性梅毒流行特征分析[J]. 预防医学, 2022, 34(8): 826-830.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed