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2023年中国季节性流感流行的两个高峰

Two Peaks of Seasonal Influenza Epidemics - China, 2023.

作者信息

Xie Yiran, Lin Shuxia, Zeng Xiaoxu, Tang Jing, Cheng Yanhui, Huang Weijuan, Li Jiandong, Wang Dayan

机构信息

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

出版信息

China CDC Wkly. 2024 Sep 6;6(36):905-910. doi: 10.46234/ccdcw2024.069.

Abstract

INTRODUCTION

Influenza is a communicable respiratory disease that causes annual epidemics and occasional unpredictable pandemics. This study examines the occurrence of two unexpected influenza peaks within the year 2023.

METHODS

Influenza-like illness (ILI) data were reported, and specimens of ILI were collected by designated surveillance hospitals. Positive cases were confirmed using real-time reverse transcription polymerase chain reaction (rRT-PCR) testing conducted at national surveillance network laboratories. The data were then submitted to the Chinese Influenza Surveillance Information System.

RESULTS

From December 2022 to January 2023, influenza activity was minimal until a spring epidemic began in February, peaking in late March. The outbreak spread from the north to the south, with A(H1N1)pdm09 being the predominant strain and A(H3N2) also circulating concurrently. The positivity rate in northern and southern provincial-level administrative divisions (PLADs) reached 60.0% (week 10) and 60.2% (week 13), respectively, before dropping to below 5% from May to August. Subsequently, rates surged starting in week 41 in the south and week 44 in the north, peaking at 54.4% (week 50) and 44.0% (week 49), respectively, and remained high until the end of 2023. A(H3N2) became the prevailing strain, with a notable increase in B/Victoria lineage viruses from December, resulting in two peaks during the 2023 influenza season.

CONCLUSIONS

The pattern of the influenza epidemic shifted due to the coronavirus disease 2019 (COVID-19) outbreak and is gradually returning to its usual seasonal and intensity patterns. It is, therefore, crucial to continuously strengthen influenza surveillance, enhance the influenza surveillance network, and lay the groundwork for advancing integrated surveillance of multiple pathogens in China.

摘要

引言

流感是一种传染性呼吸道疾病,每年都会引发疫情,偶尔还会出现不可预测的大流行。本研究调查了2023年内出现的两个意外流感高峰。

方法

报告流感样疾病(ILI)数据,指定监测医院收集ILI标本。通过国家监测网络实验室进行的实时逆转录聚合酶链反应(rRT-PCR)检测确认阳性病例。然后将数据提交至中国流感监测信息系统。

结果

2022年12月至2023年1月,流感活动极少,直至2月开始春季疫情,并于3月下旬达到高峰。疫情从北向南蔓延,A(H1N1)pdm09为主要毒株,A(H3N2)也同时流行。北方和南方省级行政区(PLAD)的阳性率分别在第10周和第13周达到60.0%和60.2%,之后在5月至8月降至5%以下。随后,南方从第41周、北方从第44周开始发病率激增,分别在第50周和第49周达到峰值54.4%和44.0%,并一直保持高位直至2023年底。A(H3N2)成为优势毒株,12月起B/维多利亚系病毒显著增加,导致2023年流感季出现两个高峰。

结论

由于2019冠状病毒病(COVID-19)疫情爆发,流感流行模式发生转变,目前正逐渐恢复到其通常的季节性和强度模式。因此,持续加强流感监测、完善流感监测网络并为推进中国多种病原体综合监测奠定基础至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/378c/11425296/2611e3f953a0/ccdcw-6-36-905-1.jpg

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