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2005 - 2023年中国登革热的流行病学特征

Epidemiological Characteristics of Dengue Fever - China, 2005-2023.

作者信息

Li Zhuowei, Huang Xiaoxia, Li Aqian, Du Shanshan, He Guangxue, Li Jiandong

机构信息

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Biosafety, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing, China.

出版信息

China CDC Wkly. 2024 Oct 11;6(41):1045-1048. doi: 10.46234/ccdcw2024.217.

Abstract

INTRODUCTION

The global incidence of dengue fever has increased significantly over the past two decades, and China faces a significant upward trend in dengue control challenges.

METHODS

Data were obtained from China's NNDRS from 2005 to 2023. Joinpoint regression software was used to analyze temporal trends, while SaTScan software was used to analyze spatial, seasonal, and spatiotemporal distributions. ArcGIS software was used to visualize clusters.

RESULTS

A total of 117,892 dengue cases were reported from 2005 to 2023, with significant fluctuation in annual reported cases. Dengue was not endemic in China. Autochthonous outbreaks most likely occurred in the southwestern, southeastern coastal, and inland areas of China. These outbreaks have occurred between June and November, generally peaking in September or October, around epidemiological week (EW) 40.

CONCLUSIONS

Dengue challenges in China are increasing. Timely case monitoring, proactive control interventions, and staff mobilization should be implemented before June to ensure a timely response to autochthonous outbreaks.

摘要

引言

在过去二十年中,全球登革热发病率显著上升,中国在登革热防控方面面临着严峻的挑战且呈明显上升趋势。

方法

数据来源于2005年至2023年中国国家法定传染病报告系统。采用Joinpoint回归软件分析时间趋势,同时使用SaTScan软件分析空间、季节和时空分布。利用ArcGIS软件对聚集性进行可视化展示。

结果

2005年至2023年共报告117892例登革热病例,年报告病例数波动显著。登革热在中国并非地方性疾病。本土疫情最有可能发生在中国西南部、东南沿海和内陆地区。这些疫情发生在6月至11月之间,通常在9月或10月达到高峰,即大约在第40个流行病学周。

结论

中国登革热防控面临的挑战日益增加。应在6月前及时开展病例监测、采取积极的防控干预措施并进行人员动员,以确保对本土疫情做出及时应对。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bba/11532530/86e0d00b4355/ccdcw-6-41-1045-1.jpg

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