职业与健康 ›› 2025, Vol. 41 ›› Issue (2): 186-191.

• 论著 • 上一篇    下一篇

2013—2023年兵团乌鲁木齐市哨点医院流行性感冒流行特征分析

郭艳1, 李凡卡2, 阿布都乃比·阿布都力克木2, 郭景霞2, 高楠3   

  1. 1.新疆医科大学公共卫生学院,新疆 乌鲁木齐 830011;
    2.新疆生产建设兵团疾病预防控制中心a行政办公室,b应急办,c检验科,新疆 乌鲁木齐 830032;
    3.新疆生产建设兵团医院康复医学科,新疆 乌鲁木齐 830002
  • 收稿日期:2024-08-02 修回日期:2024-08-12 出版日期:2025-01-15 发布日期:2025-12-11
  • 通信作者: 李凡卡,主任医师,E-mail:Lifanka@sina.com
  • 作者简介:郭艳,女,在读硕士研究生,研究方向为流行病与卫生统计学。

Analysis on epidemic characteristics of influenza in Urumqi sentinel hospital of the Corps from 2013 to 2023

GUO Yan1, LI Fanka2, Abudunaibi·Abudukelimu2, GUO Jingxia2, GAO Nan3   

  1. 1. School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830011, China;
    2. a Administrative Office, b Emergency office, c Department of Laboratory, Xinjiang Production and Construction Corps Center for Disease Control and Prevention, Urumqi, Xinjiang 830032, China;
    3. Department of Rehabilitation Medicine, Xinjiang Production and Construction Corps Hospital, Urumqi, Xinjiang 830002, China
  • Received:2024-08-02 Revised:2024-08-12 Online:2025-01-15 Published:2025-12-11
  • Contact: LI Fanka,Chief physician,E-mail:lifanka@sina.com

摘要: 目的 分析2013—2023年兵团乌鲁木齐市哨点医院流行性感冒(流感)流行特征,为该地区流感精准防控提供依据。方法 采用描述流行病学方法分析2013—2023年兵团乌鲁木齐市哨点医院流感的流行特征,采用Excel 2019软件和SPSS 26.0软件对病例数据进行整理和统计分析,并分析病原学特征。结果 2013—2023年兵团乌鲁木齐市哨点医院共报告18 047例流感样病例(influenza-like illness,ILI),门(急)诊病例2 069 052例,ILI占门(急)诊病例总数的百分比(ILI%)为0.87%。2013—2019年ILI和ILI%整体呈现下降趋势,2020—2022年ILI病例持续减少,但ILI%呈现较为明显的上涨,ILI和ILI%均出现明显上升。2013—2023年流感流行趋势总体呈现季节性,冬春季显著增多,优势毒株以季节H3型流感病毒为主。2013—2023年共5 765条流感病毒核酸检测记录进行分析,其中核酸检测阳性样本985份,核酸阳性检出率为17.09%。5~<15岁年龄组流感病毒阳性检出率最高为22.33%,≥60岁年龄组流感病毒阳性检出率最低为11.54%。结论 2013—2023年兵团乌鲁木齐市哨点医院监测结果低龄儿童为流感第一易感人群,整体优势毒株为季节性流感H3毒株,冬春季高发。结合流调溯源等信息分析,建议在春、冬季来临之前及时强化流感预防措施,重点做好儿童家庭预防。

关键词: 流行性感冒, 流行特征, 病原学特征, 季节性

Abstract: Objective To analyze the epidemic characteristics of influenza in Urumqi sentinel hospital of Xinjiang Production and Construction Corps from 2013 to 2023,so as to provide basis for accurate prevention and control of influenza in this area. Methods Descriptive epidemiological methods were used to analyze the epidemic characteristics of influenza in the sentinel hospital in Urumqi City of Xinjiang Production and Construction Corps from 2013 to 2023.Excel 2019 software and SPSS 26.0 software were used to organize and statistically analyze case data,and pathogenic characteristics were analyzed. Results From 2013 to 2023,a total of 18 047 cases of influenza-like illness(ILI) were reported in the sentinel hospitals of Urumqi,Xinjiang Production and Construction Corps. There were 2 069 052 cases of outpatient(emergency) diagnosis,and ILI accounted for 0.87% of the total outpatient(emergency) diagnosis. From 2013 to 2019,ILI and ILI% showed an overall downward trend,while ILI continued to decrease from 2020 to 2022,but ILI% showed a significant increase,with both ILI and ILI% showing a significant increase. The overall trend of influenza epidemic from 2013 to 2023 showed seasonality,with a significant increase in winter and spring,and the dominant strain was seasonal H3 influenza virus. From 2013 to 2023,a total of 5 765 influenza virus nucleic acid testing records were analyzed,including 985 positive samples,with a nucleic acid positive detection rate of 17.09%. The positive detection rate of influenza virus was highest in the age group of 5-<15 years old(22.33%),and lowest in the age group of ≥ 60 years old(11.54%). Conclusion The monitoring results of sentinel hospitals in Urumqi of Xinjiang Production and Construction Corps from 2013 to 2023 show that young children are the first susceptible population to influenza,and the overall dominant strain is the seasonal influenza H3 strain,which is highly prevalent in winter and spring. Based on information analysis such as epidemiological investigation and tracing,it is recommended to strengthen influenza prevention measures in a timely manner before the arrival of spring and winter,with a focus on family prevention for children.

Key words: Influenza, Epidemiological characteristics, Etiological characteristics, Seasonality

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