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河南省2000-2007年志贺菌多中心研究
引用本文:徐兰英,许汴利,郭万申,夏胜利,黄丽莉,李孟磊.河南省2000-2007年志贺菌多中心研究[J].中华流行病学杂志,2009,30(2):203-203.
作者姓名:徐兰英  许汴利  郭万申  夏胜利  黄丽莉  李孟磊
作者单位:1. 郑州大学公共卫生学院流行病学与卫生统计学系,450002
2. 河南省疾病预防控制中心
基金项目:国家“863”高技术研究发展计划资助项目(2006AA022347)
摘    要:志贺菌属分为AB、CD 4个群,即痢疾志贺菌(S.dysenteriae)、福氏志规菌(S.flexneri)、鲍氏志贺菌(S.boydii)、宋内志贺菌(S.sonnei)以及50多个血清型(包括亚型).现将河南省各监测点2000-2007年志贺菌菌型、药敏和毒力基因检测结果报道如下.

关 键 词:志贺菌  细菌性痢疾
收稿时间:2008/8/25 0:00:00

A multicentre study of Shigella in Henan province,during 2000-2007
XU Lan-ying,XU Bian-li,GUO Wan-shen.A multicentre study of Shigella in Henan province,during 2000-2007[J].Chinese Journal of Epidemiology,2009,30(2):203-203.
Authors:XU Lan-ying  XU Bian-li  GUO Wan-shen
Institution:School of Public Health, Zhengzhou University , Zhengzhou 450002, China
Abstract:Objective To establish models to predict individual risk of essential hypertension and to evaluate and explore new forecasting methods. Methods To select data of 3054 community residents from a epidemiological survey and divided them into 4 : 1 (2438 cases and 616 cases) ratio in accordance with the balance of age and sex to filter variables, and to establish, test and evaluate the prediction models. Using artificial neural network (ANN) and logistic regression analysis to establish models while applying ROC to evaluate the prediction models. Results Forecast results of the models applying to the test set proved that ANN had lower specificity but better veracity and sensitivity than logistic regression.In particular, the Youden''s index of the ANN2 came up to 0.8399 which was distinctly higher than the other two models.When the area was under the ROC curve of logistic regression, the ANN1 and ANN2 models equaled to 0.732±0.026,0.900±0.014 and 0.918±0.013 respectively, which proved that the ANN model was better in the prediction about individual health risk of essential hypertension. Conclusion Our results showed that ANN method seemed better than logistic regression in terms of predicting the individual risk from hypertension thus supplied a new method to solve the forecast of individual risk.
Keywords:Shigella spp  Bacillary dysentery
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