热带病与寄生虫学

热带病与寄生虫学 ›› 2023, Vol. 21 ›› Issue (5): 250-253.doi: 10.3969/j.issn.1672-2302.2023.05.002

• 蚊媒传染病防控专题 • 上一篇    下一篇

2020—2022年云南省登革热流行特征分析

魏春1(), 郭小连1, 杨锐1, 赵晓涛1, 吴超1, 杨召兰2, 尹小雄2, 周红宁1()   

  1. 1.云南省寄生虫病防治所，云南省虫媒传染病防控研究重点实验室，云南省热带传染病国际联合实验室，云南省虫媒传染病防控关键技术创新团队，云南 普洱 665000
    2.瑞丽市疾病预防控制中心
  • 收稿日期:2023-09-11 出版日期:2023-10-20 发布日期:2023-11-07
  • 通信作者: 周红宁，E-mail: zhouhn66@163.com
  • 作者简介:魏春，女，本科，副主任医师，研究方向：虫媒传染病防控。E-mail: wch3235356@163.com
  • 基金资助:
    云南省重点研发计划项目(202103AQ100001)

Epidemic situation of dengue fever in Yunnan Province from 2020 to 2022

WEI Chun1(), GUO Xiaolian1, YANG Rui1, ZHAO Xiaotao1, WU Chao1, YANG Zhaolan2, YIN Xiaoxiong2, ZHOU Hongning1()   

  1. 1. Yunnan Institute of Parasitic Diseases，Yunnan Provincial Key Laboratory of Vector-borne Infectious Diseases Control and Research，Yunnan International Joint Laboratory of Tropical Infectious Diseases，Yunnan Innovative Team of Key Techniques for Vector-borne Disease Control and Prevention，Pu′er 665000，Yunnan Province，China
    2. Ruili Center for Disease Control and Prevention
  • Received:2023-09-11 Online:2023-10-20 Published:2023-11-07
  • Contact: ZHOU Hongning, E-mail: zhouhn66@163.com

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摘要：

目的 了解新型冠状病毒感染疫情（简称新冠疫情）期间云南省登革热流行特征，为优化该病的防控措施提供参考。方法 通过中国疾病预防控制信息系统收集2020—2022年云南省报告的登革热病例个案信息，采用描述流行病学方法分析云南省登革热的地区、时间、人群分布及境内外来源等流行特征。结果 2020—2022年，云南省累计报告登革热病例845例，其中境外输入病例29例（占3.43%），本地病例816例（占96.57%）。本地病例主要来自德宏州（98.53%，804/816）；境外输入病例主要来自东南亚国家（89.66%，26/29）。时间分布上，本地病例报告高峰期为9—11月（91.30%，745/816）；输入病例全年散在报告。人群分布上，男性病例稍多（55.62%，470/845），性别比为1:0.80；病例年龄集中在20~59岁（81.07%，685/845）；职业以商业服务居多（34.79%，294/845）。2020和2022年各报告1起暴发疫情，均发生于瑞丽，累计报告本地病例785例。2020年暴发疫情历时126 d，报告病例245例；2022年暴发疫情历时85 d，报告病例540例。结论 新冠疫情期间，云南省登革热发病总数和本地暴发疫情数大幅下降，但登革热的流行因素依然存在。今后要在重点地区加强健康教育，继续加强与周边国家或地区的联防联控，做好入境人员监测和媒介综合控制，及时落实登革热疫情发生初期的防控措施及病例救治工作，防止疫情扩散。

关键词: 登革热, 新冠疫情, 流行特征, 云南省

Abstract:

Objective To understand the epidemiological characteristics of dengue fever in Yunnan Province during the epidemic of COVID-19 for reference to optimize the prevention and control measures for this infection. Methods The case data on dengue fever reported in Yunnan Province from 2020 to 2022 were retrieved through the China Disease Prevention and Control Information System. Descriptive epidemiological methods were used to analyze the distribution of dengue fever by the region, time and population as well as the epidemiological characteristics of domestic and foreign infection sources in Yunnan Province. Results In total, 845 cases of dengue fever were reported Yunnan Province from 2020 to 2022, including 29 foreign imported cases (3.43%) and 816 local infections (96.57%). Local infections primarily occurred in Dehong Prefecture (98.53%, 804/816), and the imported cases were generally from the southeast Asian countries (89.66%, 26/29). In terms of time distribution, the peak period of local infection occurred from September to November (91.30%, 745/816), whereas the imported cases were seen in each month throughout the year. Males were dominant in the reported cases (55.62%, 470/845), with a gender ratio of 1:0.80 and age range between 20 and 59 years old (81.07%, 685/845). The infections were most seen in personnel in commercial services (34.79%, 294/845). Two outbreaks, both occurring in Ruili City, were reported, which involved 785 local cases. The first outbreak occurred in 2020, and lasted for 126 days, with 245 cases reported. The second occurred in 2022, lasted for 85 days with 540 cases reported. Conclusion During the COVID-19 epidemic, the total number of dengue fever cases and local outbreaks in Yunnan Province dropped significantly, yet the risks of dengue fever prevalence still exist. In following work, we should continue to strengthen the health education in the key areas and the joint prevention and control of the infection with neighboring countries/regions, we should enhance the monitoring over the personnel from foreign countries and comprehensive control against the dengue vector, and timely implement the initial prevention and control measures and case treatment to prevent spread of the epidemic.

Key words: Dengue fever, COVID-2019, Epidemiological characteristics, Yunnan Province

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