Abstract
李中杰,张伟东,叶楚楚,郑书发,杨维中.传染病症状监测系统的设计要点与方法[J].Chinese journal of Epidemiology,2010,31(8):942-944
传染病症状监测系统的设计要点与方法
The key components and method of designing syndromic surveillance
Received:March 31, 2010  
DOI:
KeyWord: 传染病  症状监测  设计
English Key Word: Infectious disease  Syndromic surveillance  Designing
FundProject:国家科技重大专项(2009ZX10004-201)
Author NameAffiliationE-mail
Li Zhongjie Chinese Center for Disease Control and Prevention, Beijing 102206, China  
Zhang Weidong Chinese Center for Disease Control and Prevention, Beijing 102206, China  
Ye Chuchu Chinese Center for Disease Control and Prevention, Beijing 102206, China  
Zheng Shufa Zhejiang University  
Yang Weizhong Chinese Center for Disease Control and Prevention, Beijing 102206, China yangwz@chinacdc.cn 
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Abstract:
      近十年来,症状监测作为一种新兴的公共卫生监测手段引起了普遍的关注。相对于基于病例诊断的传统公共卫生监测手段,症状监测是对临床诊断前患者相关的非特异性信息进行监测。
English Abstract:
      To introduce the application of generalized multifactor dimensionality reduction (GMDR) method for detecting interactions, especially gene-gene interactions for quantitative traits. Principles, basic steps as well as features of GMDR were discussed, illustrated with a practical research case. As an interaction analysis method, GMDR was model-free, available for studies on different outcome variables including continuous ones, and permitted adjustment for covariates to improve prediction accuracy. Evidences of its capacity had been supposed by research on different diseases, e.g. nicotine dependence. GMDR method was applicable to different types of samples and outcome variables, which was superior to other statistical approaches for continuous variables in some aspects.
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