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江苏省东台市大肠埃希菌O157:H7监测
引用本文:刘东林,崔桂花,蔡加平,吴银华,姜汉民. 江苏省东台市大肠埃希菌O157:H7监测[J]. 中华流行病学杂志, 2008, 29(2): 202-202
作者姓名:刘东林  崔桂花  蔡加平  吴银华  姜汉民
作者单位:1. 江苏省东台市疾病预防控制中心,224200
2. 东台市人民医院
摘    要:为了解东台地区1999-2001年和2005-2006年间肠出血性大肠埃希菌(E.coli O157:H7)宿主动物和腹泻患者带菌情况,按照《江苏省大肠杆菌感染性腹泻监测工作实施计划》及《国家大肠杆菌感染性腹泻监测方案》在东台市开展E.coli O157:H7监测工作.

关 键 词:大肠埃希菌O157:H7  监测
收稿时间:2007-05-31

Surveillance on E.coli O157:H7 in Dongtai in Jiangsu province
LIU Dong-lin,CUI Gui-hu,CAI Jia-ping,WU Yin-hua and JIANG Han-min. Surveillance on E.coli O157:H7 in Dongtai in Jiangsu province[J]. Chinese Journal of Epidemiology, 2008, 29(2): 202-202
Authors:LIU Dong-lin  CUI Gui-hu  CAI Jia-ping  WU Yin-hua  JIANG Han-min
Abstract:Objective Through introduction of principal theory and algorithm of propensity score to design SAS macro programs for binary data.Methods Propensity score method was used to compare the differences of character variables between two groups, and the association of DNR (Do Not Resuscitate) with the mortality of congestive heart failure was evaluated with different methods.Results Significant differences among the character variables between two groups were effectively balanced with stratification or matching method. The odds ratios of DNR with the in-hospital mortality rate of congestive heart failure were estimated identical with different algorithms and to find that the association of DNR to in-hospital mortality was highly significant. Conclusions Propensity score was a good algorithm that could be used to analyze any kind of observational data for matching the effects among the character variables.
Keywords:E.coli O157:H7  Surveillance
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