程凯丽, 曹婧婧, 郑献智, 甄茜, 曹淦, 蒋霞, 吕旭峰. 20192023年江苏省常州市流行性感冒流行特征分析[J]. 上海预防医学, 2023, 35(11): 1063-1067. DOI: 10.19428/j.cnki.sjpm.2023.23157
引用本文: 程凯丽, 曹婧婧, 郑献智, 甄茜, 曹淦, 蒋霞, 吕旭峰. 20192023年江苏省常州市流行性感冒流行特征分析[J]. 上海预防医学, 2023, 35(11): 1063-1067. DOI: 10.19428/j.cnki.sjpm.2023.23157
CHENG Kaili, CAO Jingjing, ZHENG Xianzhi, ZHEN Qian, CAO Gan, JIANG Xia, LYU Xufeng. Characterization of influenza epidemic in Changzhou City, Jiangsu Province from 2019 to 2023[J]. Shanghai Journal of Preventive Medicine, 2023, 35(11): 1063-1067. DOI: 10.19428/j.cnki.sjpm.2023.23157
Citation: CHENG Kaili, CAO Jingjing, ZHENG Xianzhi, ZHEN Qian, CAO Gan, JIANG Xia, LYU Xufeng. Characterization of influenza epidemic in Changzhou City, Jiangsu Province from 2019 to 2023[J]. Shanghai Journal of Preventive Medicine, 2023, 35(11): 1063-1067. DOI: 10.19428/j.cnki.sjpm.2023.23157

20192023年江苏省常州市流行性感冒流行特征分析

Characterization of influenza epidemic in Changzhou City, Jiangsu Province from 2019 to 2023

  • 摘要:
    目的 分析2019—2023年江苏省常州市流行性感冒(简称“流感”)的流行强度和特征,为制订流感防控策略提供科学依据。
    方法 通过中国流感监测信息系统收集常州市2019年4月—2023年3月流感监测哨点医院的监测数据,对常州市新型冠状病毒感染(简称“新冠”)流行前后的流感样病例(ILI)进行分析研究,采用χ2检验比较定性资料间差异。
    结果 常州市2019年4月—2023年3月的ILI就诊百分比分别为2.57%、1.84%、5.38%、3.66%,流感病毒阳性检出率分别为25.71%、0.44%、22.78%、24.32%,流感暴发疫情数分别为61起、1起、23起和128起。ILI主要以5~14岁的青少年和儿童为主。2020—2021年新冠流行后ILI就诊百分比明显低于2019—2020年(χ2=737.34, P<0.001),2021—2023年ILI就诊百分比均高于2019—2020年。2019—2021年的流感病毒以乙型Victoria为主,2022—2023年流感病毒阳性检出中甲型流感病毒为优势毒株。2021—2022年流感暴发疫情数明显少于2019—2020年(χ2=185.66,P<0.001),2022—2023年流感暴发疫情数明显高于2019—2020年。
    结论 2019—2023年新冠防控不同阶段流感的流行特征不同,在新冠疫情动态清零阶段,ILI就诊呈现低水平波动,无明显季节性波动,且流感病毒阳性检出以乙型为主;新冠高强度流行阶段,ILI就诊水平达到历年高峰,流感病毒阳性检出以甲型H3N2型为主;新冠乙类乙管阶段,ILI就诊水平在迅速降低后升高,流感病毒阳性检出以甲型H1N1型为主。须进一步加强对流感病例的监测,密切关注流感毒株变化,积极推进重点人群流感疫苗接种,促进全人群健康行为改变。

     

    Abstract:
    Objective To analyze the epidemic intensity and characteristics of influenza in Changzhou City, Jiangsu Province from 2019 to 2023, and to provide scientific evidence for the formulation of influenza prevention and control strategies.
    Methods The surveillance data of influenza surveillance sentinel hospitals in Changzhou City from April 2019 to March 2023 were collected through the China influenza surveillance information system. Influenza-like illness (ILI) cases before and after the pandemic of COVID-19 in Changzhou City were analyzed, and the differences among qualitative data were compared by using χ² test.
    Results From April 2019 to March 2023 the percentages of ILI cases’ medical visits in the four-influenza surveillance year were 2.57%, 1.84%, 5.38%, and 3.66%, respectively, and the positive detection rates of influenza virus were 25.71%, 0.44%, 22.78%, and 24.32%, respectively. The number of influenza outbreaks was 61, 1, 23, and 128, respectively. ILI cases were mainly among adolescent children aged 5‒14 years. The percentage of ILI cases in 2020‒2021 after the pandemic of COVID-19 was significantly lower than that in 2019‒2020 (χ2=737.342, P<0.001), and the percentage of ILI cases in 2021‒2023 was higher than that in 2019‒2020. Influenza viruses in 2019‒2021 were dominated by type B Victoria, and influenza A virus was the dominant strain in positive influenza virus detections in 2022‒2023. The number of influenza outbreaks in 2021‒2023 was significantly lower than that in 2019‒2020 (χ2=185.662, P<0.001).
    Conclusion The epidemiological characteristics of influenza are different in different stages of COVID-19 prevention and control during 2019‒2023. In the dynamic clearance phase of COVID-19, ILI case’s medical visits showed low-level fluctuations without obvious seasonal fluctuations, and influenza virus was dominated by type B. In the high-intensity phase of the pandemic, the level of ILI case’s medical visits has reached the peak of the calendar year, and the positive detection of influenza virus was dominated by type A H3N2. In the "Category B B control" phase, the level of ILI case’s medical visits increased after a rapid decline, and the positive detection of influenza virus was dominated by type A H1N1. It is necessary to further strengthen the monitoring of influenza cases, pay close attention to the changes in influenza strains, actively promote influenza vaccination for key population group, and promote health behavior changes for the whole population.

     

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