20122022年上海市杨浦区流感样病例聚集性疫情流行特征及影响因素

Epidemiological characteristics and influencing factors of the cluster outbreaks of influenza-like illness in Yangpu DistrictShanghai2012‒2022

  • 摘要:
    目的 分析2012—2022年上海市杨浦区流感样病例聚集性疫情的流行特征及影响因素,为该区制定针对性的流感防控措施提供科学依据。
    方法 收集2012—2022年流感样病例聚集性疫情资料,采用描述性统计学指标(构成比和罹患率,中位数和百分位数)描述流感聚集性疫情流行规律,以logistic回归分析方法,探讨流感聚集性疫情持续时间的影响因素。
    结果 2012—2022年上海市杨浦区共报告流感样病例聚集性疫情60起,累计发病人数543例,年均罹患率为16.96%;病例的男女性别比为1.06∶1。2019年上报疫情数最多,疫情主要集中发生在11月至次年1月,其中12月份为疫情最高峰。杨浦区长海路街道上报疫情起数(18起)最多,占30.00%。流感聚集性疫情均发生在学校,发生起数和病例数均以小学为多(分别占65.00%和62.06%)。疫情主要由B型流感病毒引起,占疫情总起数的50%。不同学校所属街道、学校属性、学校类型的流感聚集性疫情罹患率不同,以控江路街道、民办学校和托幼机构的罹患率为高。以疫情报告时间是否>2 d为界分为“报告时间早”和“报告时间晚”2组,报告时间较晚者的疫情持续时间较长(OR=8.604,95%CI:1.509~49.067)。
    结论 杨浦区流感样病例疫情具有明显季节性,小学为重点防控场所,杨浦区长海路街道为重点防控区域,及时发现和上报并积极处置可防止疫情的进一步扩散。

     

    Abstract:
    Objective To analyze the epidemiological characteristics and influencing factors of clustered influenza-like illness (ILI) outbreaks in Yangpu District, Shanghai from 2012 to 2022, and to provide a scientific basis for formulating specific prevention and control measures of influenza in this district.
    Methods Data on clustered ILI outbreaks from 2012 to 2022 were collected, and the epidemiological pattern of the cluster outbreaks of influenza and its influencing factors of prevalence and duration were explored using statistical methods such as descriptive epidemiology, χ² test and logistic regression analysis.
    Results A total of 60 clustered ILI outbreaks were reported in Yangpu District, Shanghai from 2012 to 2022, with a cumulative number of 543 cases and an annual average incidence rate of 16.96%. The male-to-female ratio was 1.06∶1. The largest number of ILI were reported in 2019, mainly from November to January of the next year, with December being the peak of outbreaks. The Streets of Changhai Rd. in Yangpu District had the largest number of reported outbreaks, accounting for 30.00% of the total outbreaks. Influenza cluster outbreaks occurred in schools, with the majority of outbreaks and cases reported in primary schools (accounting for 65.00% and 62.06% of the total, respectively). The outbreaks were mainly caused by influenza B virus, accounting for 50% of the total number of outbreaks. The prevalence rate of influenza cluster outbreaks varied among different schools in terms of their affiliated streets, school attributes and school types, with those in Kongjiang Rd. Subdistrict, private schools, and childcare institutions being relatively high. The duration of outbreaks reported for >2 days was longer than those reported for ≤2 days (OR=8.604, 95%CI: 1.509–49.067).
    Conclusion The ILI outbreaks in Yangpu District present a seasonal pattern, with primary schools and Changhai Rd. Street as the targeted places for implementing prevention and control measures. Timely detection and reporting and active disposal can prevent a further spread of the outbreaks.

     

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