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2012-2014年贵州省流感监测分析
引用本文:任丽娟,唐光鹏,雷明玉,庄丽,郑勤妮,付琳,黄艳,李法锦,郭军,万永虎.2012-2014年贵州省流感监测分析[J].现代预防医学,2015,0(21):3986-3988.
作者姓名:任丽娟  唐光鹏  雷明玉  庄丽  郑勤妮  付琳  黄艳  李法锦  郭军  万永虎
作者单位:贵州省疾病预防控制中心,贵州 贵阳 550004
摘    要:摘要:目的 了解2012-2014年贵州省流行性感冒(流感)流行特征,为流感防制提供参考依据。方法 收集2012 -2014年贵州省流感样病例(ILI)监测数据和病原学监测数据,分析ILI占门诊就诊病例百分比(ILI%)、流感病毒各亚型的变化规律。结果 哨点医院共报告ILI 229694例,ILI%平均为5.91%。网络实验室共检测哨点医院采集的流感样病例标本32111份,阳性率12.12%。其中病原构成为季节性流感H3亚型占41.00%,次为BY型占27.47%,甲型H1N1占26.54%,混合型占0.96%。结论 2012年以来贵州省流行的流感病毒多种,但主要是季节性流感H3亚型、BY型,以及甲型H1N1亚型;流感监测网络的建立,对发现新发、不明原因疾病起着重要的作用。

关 键 词:关键词:哨点医院  流感样病例  流感病毒  流行特征

Surveillance of influenza in Guizhou, 2012-2014
REN Li-juan,TANG Guang-peng,LEI Ming-yu,ZHUANG Li,ZHENG Qin-ni,FU Lin,HUANG Yan,LI Fa-jin,GUO Jun,WAN Yong-hu.Surveillance of influenza in Guizhou, 2012-2014[J].Modern Preventive Medicine,2015,0(21):3986-3988.
Authors:REN Li-juan  TANG Guang-peng  LEI Ming-yu  ZHUANG Li  ZHENG Qin-ni  FU Lin  HUANG Yan  LI Fa-jin  GUO Jun  WAN Yong-hu
Institution:Guizhou center for Disease Control and Proveention, Guiyang, Guizhou 550004, China
Abstract:Abstract: Objective To learn about the epidemiological characteristics of influenza in Guizhou and provide scientific evidence for the prevention and control of influenza. Methods The sentinel surveillance data of influenza like illness (ILI) in Guizhou from 2012 to 2014 were collected to conduct analysis. Results From 2012 to 2014, a total of 229694 ILI cases were reported, which accounted for 5.91% of the total outpatient visit. 32111 samples collected from ILI cases were tested in influenza network laboratories, and the positive rate was 12.12%. Among the positive samples, influenza A (H3) virus accounted for 41.00%, and influenza BY viruses accounted for 27.47%, while influenza A (H1N1) pdm 09 viruses accounted for 26.54% and the mixed accounted for 0.96%. Conclusion The characteristics of our province show a variety of influenza virus since 2012, mainly seasonal iinfluenza A (H3) virus, influenza BY viruses and nfluenza A (H1N1) pdm 09 viruses. Influenza monitor network plays an important role in finding the new, unknown diseases.
Keywords:Keywords: Sentinel surveillance  Influenza like illness  Influenza virus  Epidemic characteristics
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