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预防医学  2026, Vol. 38 Issue (9): 937-939,944    DOI: 10.19485/j.cnki.issn2096-5087.2026.09.016
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
2018—2024年舟山市百日咳流行特征和时空聚集性分析
李鹏1, 李倩2, 唐安1, 严剑波1,2
1.舟山市疾病预防控制中心(舟山市卫生监督所),浙江 舟山 316021;
2.南昌大学公共卫生学院,疾病预防与公共卫生江西省重点实验室,江西 南昌 330019
Epidemiological characteristics and spatial-temporal clustering of pertussis in Zhoushan City from 2018 to 2024
LI Peng1, LI Qian2, TANG An1, YAN Jianbo1,2
1. Zhoushan Center for Disease Control and Prevention (Zhoushan Institute of Public Health Supervision), Zhoushan, Zhejiang 316021, China;
2. School of Public Health, Nanchang University, Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang, Jiangxi 330019, China
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摘要 目的 分析2018—2024年浙江省舟山市百日咳流行特征和时空聚集性,为制定区域性百日咳防控策略提供参考。方法 通过中国疾病预防控制信息系统传染病报告信息管理系统收集2018—2024年舟山市百日咳病例资料,采用描述性流行病学方法分析百日咳发病的时间分布、人群分布和地区分布,采用空间自相关、时空扫描分析百日咳发病的时空聚集性。结果 2018—2024年舟山市累计报告百日咳病例1 081例,2024年报告病例数较多,为1 070例,报告发病率为91.22/10万。2024年4—5月报告百日咳病例859例,占全年病例数的80.28%。5~<10岁、10~<15岁和≥15岁组报告病例数较多,分别为682、164和121例,占63.09%、15.17%和11.19%。学生、幼托儿童报告病例数较多,分别为640、279例,占59.20%、25.81%。普陀区、定海区报告病例数较多,分别为604、405例,占55.87%、37.47%;年均报告发病率较高,分别为163.36/10万、73.94/10万。城区年均报告发病率为15.96/10万,高于农村的3.82/10万(P<0.05)。空间自相关分析结果显示,2024年舟山市百日咳发病存在空间正相关(P<0.05),高-高聚集区10个,集中在定海区的白泉镇、昌国街道、城东街道、环南街道、临城街道和普陀区的东港街道、六横镇、沈家门街道、展茅街道、朱家尖街道。时空扫描分析结果显示,2024年舟山市有1个Ⅰ类聚集区,以定海区临城街道为中心,涉及15个乡镇(街道),聚集时间为2024年4月1日—5月5日。结论 2018—2024年舟山市百日咳春季高发,5~<10岁儿童、学生是高发人群,城区尤其是临城街道发病风险较高。
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李鹏
李倩
唐安
严剑波
关键词 : 百日咳,  流行特征,  时空聚集性    
Abstract:Objective To analyze the epidemiological characteristics and spatial-temporal clustering of pertussis in Zhoushan City, Zhejiang Province from 2018 to 2024, so as to provide reference for formulating regional pertussis prevention and control strategies. Methods Data of pertussis cases in Zhoushan City from 2018 to 2024 were collected from the Infectious Disease Reporting Information System of China Disease Prevention and Control Information System. Descriptive epidemiological methods were used to analyze the temporal, population and regional distribution characteristics of pertussis incidence. Spatial autocorrelation and spatial-temporal scan analysis were used to explore the spatial-temporal clustering of pertussis incidence. Results A total of 1 081 pertussis cases were reported in Zhoushan City from 2018 to 2024. The number of reported cases was relatively high in 2024, with 1 070 cases and a reported incidence of 91.22/105, and 859 pertussis cases were reported from April to May 2024, accounting for 80.28% of the annual cases. The number of reported cases was relatively high among the groups aged 5-<10 years, 10-<15 years and ≥15 years, with 682 cases (63.09%), 164 cases (15.17%) and 121 cases (11.19%), respectively. The majority of cases were students and preschool children, with 640 cases (59.20%) and 279 cases (25.81%), respectively. The number of reported cases was relatively high in Putuo District and Dinghai District, with 604 cases (55.87%) and 405 cases (37.47%), respectively, and their average annual reported incidences were 163.36/105 and 73.94/105, respectively. The average annual reported incidence in urban areas was 15.96/105, which higher than the rural areas counterpart of 3.82/105 (P<0.05). Spatial autocorrelation analysis showed a positive spatial correlation for pertussis incidence in 2024 (P<0.05). There were 10 high-high clusters mainly distributed in Baiquan Town, Changguo Subdistrict, Chengdong Subdistrict, Huanan Subdistrict, and Lincheng Subdistrict in Dinghai District; Donggang Subdistrict, Liuheng Town, Shenjiamen Subdistrict, Zhanmao Subdistrict, and Zhujiajian Subdistrict in Putuo District. Spatial-temporal scan analysis identified one Class Ⅰ cluster in 2024, centered on Lincheng Subdistrict in Dinghai District and covering 15 towns (subdistricts), with the clustering period from April 1 to May 5, 2024. Conclusions In Zhoushan City, spring was the high-incidence season from 2018 to 2024; the 5-<10 years age group, students and preschool children were high-incidence populations of pertussis. The risk of pertussis was higher in urban areas, particularly in Lincheng Subdistrict.
Key words: pertussis    epidemiological characteristics    spatial-temporal clustering
收稿日期: 2026-06-25      修回日期: 2026-09-02     
中图分类号:  R516.6  
基金资助:浙江省医药卫生科技计划项目(2024KY1778); 浙江省疾病预防控制创新培育团队(2026JKP-09)
作者简介: 李鹏,硕士,主管医师,主要从事传染病监测预警与应急管理工作,E-mail:lipengahmu@qq.com
引用本文:   
李鹏, 李倩, 唐安, 严剑波. 2018—2024年舟山市百日咳流行特征和时空聚集性分析[J]. 预防医学, 2026, 38(9): 937-939,944.
LI Peng, LI Qian, TANG An, YAN Jianbo. Epidemiological characteristics and spatial-temporal clustering of pertussis in Zhoushan City from 2018 to 2024. Preventive Medicine, 2026, 38(9): 937-939,944.
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https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2026.09.016      或      https://www.zjyfyxzz.com/CN/Y2026/V38/I9/937
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