中国血吸虫病防治杂志(中英文) ›› 2025, Vol. 37 ›› Issue (6): 668-672, 680.

• 防治经验 • 上一篇    下一篇

2014—2024年江门市登革热流行病学特征

冯绮雯,韦志楠,罗晓敏,冼椅红,赖演媚,黄焕莺,杨立峰*   

  1. 广东省江门市疾病预防控制中心(广东 江门 529030)
  • 出版日期:2025-12-25 发布日期:2026-01-20
  • 通讯作者: 杨立峰 yanglifeng@jiangmen.gov.cn
  • 作者简介:冯绮雯,女,本科,副主任医师。研究方向:传染病防控
  • 基金资助:
    2025年度江门市科学技术局医疗卫生领域科技计划项目(2025YL05017)

Epidemiological characteristics of dengue fever in Jiangmen City from 2014 to 2024

FENG Qiwen, WEI Zhinan, LUO Xiaomin, XIAN Yihong, LAI Yanmei, HUANG Huanying, YANG Lifeng*   

  1. Jiangmen Municipal Center for Disease Control and Prevention, Jiangmen, Guangdong 529030, China
  • Online:2025-12-25 Published:2026-01-20

摘要: 目的 分析2014—2024年广东省江门市登革热病例时空分布、人群特征,为优化防控策略提供依据。方法 自中国疾病预防控制信息系统收集2014—2024年江门市登革热病例相关数据,包括病例发病时间、现住址等信息,对病例的时间、地区、人群分布特征,发病到确诊时间间隔以及输入病例来源地进行分析。结果 2014—2024年江门市累计报告登革热病例1 910例,年均发病率为5.16/10万;其中本地病例1 862例(97.49%),输入病例48例(2.51%)。2014、2018—2019、2024年均发生暴发疫情,呈周期性暴发;97.12%的病例集中报告于暴发年。病例主要集中于蓬江区(649例)、江海区(511例)和鹤山市(348例),以上3个区报告病例数占总报告病例数的78.95%。病例以35 ~< 65岁年龄组人群为主(50.47%),职业以家务及待业(28.70%)、离退休(18.40%)、务工(12.36%)居多。本地病例和输入病例职业构成差异有统计学意义([χ2] = 23.68,P < 0.05)。2014—2024年江门市登革热病例发病至确诊时间中位数(四分位间距)为5(5) d。48例输入病例中,37例(77.08%)来自东南亚地区。结论 江门市登革热呈现周期性暴发、区域聚集及中老年病例较多的特征,需强化蚊媒控制、高风险区域精准干预及口岸预警机制,提升病例早期诊断能力。

关键词: 登革热, 流行病学特征, 暴发, 江门市

Abstract: Objective To analyze the spatiotemporal and population distribution characteristics of dengue fever in Jiangmen City, Guangdong Province from 2014 to 2024, so as to provide insights into optimization of the dengue fever control strategy. Methods Data pertaining to dengue fever cases in Jiangmen City from 2014 to 2024 were retrieved from China Disease Prevention and Control Information System, including time of disease onset and current address. The temporal, regional and population distribution characteristics of dengue fever cases, as well as the interval from onset to definitive diagnosis and source of imported cases acquiring infections were analyzed. Results A total of 1 910 dengue fever cases were reported in Jiangmen City from 2014 to 2024, with an annual mean incidence rate of 5.16/105, and including 1 862 local cases (97.49%) and 48 imported cases (2.51%). Dengue fever outbreaks occurred in 2014, from 2018 to 2019 and in 2024, appearing a periodical outbreak, and 97.12% of dengue fever cases were reported in the year of the outbreak. Dengue fever cases were primarily concentrated in Pengjiang District (649 cases), Jianghai District (511 cases) and Heshan City (348 cases), which accounted for 78.95% of totally reported cases, and 50.47% of dengue fever cases were found at ages of 35 to 65 years, with housework/unemployment (28.70%), retirees (18.40%), and laborers (12.36%) as predominant occupations. There was a significant difference in the occupational distribution between local and imported dengue fever cases ([χ2] = 23.68, P < 0.05). The median interval from disease onset to definitive diagnosis was 5 (interquartile range, 5) days among dengue fever cases in Jiangmen City from 2014 to 2024, and 77.08% (37/48) of imported dengue fever cases acquired infections in Southeast Asia. Conclusions The epidemiological features of dengue fever are characterized by periodical outbreaks, regional clusters and high incidence among middle⁃aged and elderly populations. It is recommended to intensify vector control measures, precision interventions in high⁃risk areas, and early warning mechanisms at points of entry, and improve the early diagnostic capability among dengue fever cases.

Key words: Dengue fever, Epidemiological characteristic, Outbreak, Jiangmen City

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