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北京市社区居民流感样症状和就诊状况的电话调查
引用本文:林晖,窦相峰,杨鹏,王小莉,张莉,刘医萌,吴晓娜,李爽,刘白薇,刘博,王全意. 北京市社区居民流感样症状和就诊状况的电话调查[J]. 疾病控制杂志, 2011, 15(2): 132-134
作者姓名:林晖  窦相峰  杨鹏  王小莉  张莉  刘医萌  吴晓娜  李爽  刘白薇  刘博  王全意
作者单位:北京市疾病预防控制中心传染病地方病防治所,北京,100013
摘    要:目的了解北京市社区居民流感样症状出现情况和出现症状后的就诊情况。方法通过多阶段抽样在北京市4个城区和4个郊区抽取样本,采用计算机辅助电话调查方式对社区居民进行调查,调查内容包括国庆节前后流感样症状出现情况和就诊状况。结果在8个区县的1 513个家庭中共调查社区居民5 013例,其中国庆节前后发热病例分别占全部调查对象的1.30%和2.63%,流感样病例占全部调查对象的0.68%和1.44%。在发热病例中,国庆节前49.23%的病例、国庆节后62.88%的病例选择到医院就诊,选择二级或以上医院就诊的病例分别占发热病例的21.54%和28.79%。结论此次调查获得了社区流感样症状和病例就诊的基础数据,为流感的预测、数学模型运算、疾病负担估算以及政策制定提供了可靠的依据,也再次证实了计算机辅助电话调查应用于社区传染病调查中的可行性。

关 键 词:流感    流感样病例  计算机辅助电话访问  

Telephone investigation of influenza like illness and visiting doctor rate in community of Beijing
LIN Hui,DOU Xiang-feng,YANG Peng,WANG Xiao-li,ZHANG Li,LIU Yi-meng,WU Xiao-na,LI Shuang,LIU Bai-wei,LIU Bo,WANG Quan-yi. Telephone investigation of influenza like illness and visiting doctor rate in community of Beijing[J]. Chinese Journal of Disease Control and Prevention, 2011, 15(2): 132-134
Authors:LIN Hui  DOU Xiang-feng  YANG Peng  WANG Xiao-li  ZHANG Li  LIU Yi-meng  WU Xiao-na  LI Shuang  LIU Bai-wei  LIU Bo  WANG Quan-yi
Affiliation:LIN Hui,DOU Xiang-feng,YANG Peng,WANG Xiao-li,ZHANG Li,LIU Yi-meng,WU Xiao-na,LI Shuang,LIU Bai-wei,LIU Bo,WANG Quan-yi.Contagious and Endemic Disease Prevention Office,Beijing Center for Disease Control and Prevention,Beijing 100013,China
Abstract:Objective To explore the influenza related syndrome like fever,cough and treatment model in community of Beijing.Methods The subjects were selected from 4 urban and 4 suburban by multi-stage sampling in Beijing.The influenza related syndrome and treatment model were investigated by computer assisted telephone interview(CATI).Results Totally 5 013 residents in 1 513 families were investigated.Before and after National Day,1.30% and 2.63% subjects had a fever with body temperature 〉37.2 ℃ respectively;0.68% and 1.44% subjects had influenza like illness respectively.In subjects having a fever,49.23% and 62.88% visited doctors respectively before and after National Day.The cases visiting second or higher degree hospital accounted for 21.54% and 28.79% of the total fever cases respectively.Conclusions The data about the influenza related syndrome and visiting doctors' behavior can be acquired through CATI,and the data can be used for the prediction of influenza,for Mathematical model evaluating disease burden,and for the policy-making process.
Keywords:Influenza  human  Influenza like illness  Computer assisted telephone interview  
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