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GM(1,1)模型在我国肺结核发病率预测中的应用
引用本文:曹伟燕,王培承,蔡伟芹,沙海滨.GM(1,1)模型在我国肺结核发病率预测中的应用[J].中国医院统计,2008,15(3):211-213.
作者姓名:曹伟燕  王培承  蔡伟芹  沙海滨
作者单位:山东省潍坊市,潍坊医学院预防医学系,261042
摘    要:目的探索肺结核的发病规律,合理预测肺结核的发病率,为卫生部门制定相应的防治策略提供理论依据。方法根据国家卫生部((2007年统计年鉴》中1998--2006年肺结核的发病率资料,采用GM(1,1)模型预测2007~2009年的肺结核发病率。结果建立的GM(1,1)模型精度指标后验差比值C为0.3112,小误差概率P=1,该模型为一级模型,拟合效果较理想。结论预测2007年、2008年、2009年的发病率分别为114.1854/10万、131.4256/10万、151.1748/10万,发病率很高,提示卫生管理部门应加强肺结核的防治工作。

关 键 词:肺结核发病率  灰色模型  预测

Application of GM(1,1) on forecasting the incidence of tuberculosis in China
Institution:CAO Wei-yan, WANG Pei-cheng, CAI Wei- qin, et al(Department of Preventive Medicine, Weifang Medical College, Weifang 261042, China.)
Abstract:Objective To explore the changing trend and forecast the incidence of tuberculosis,it will provide the theoretical foundation for department of epidemic prevention. Methods According the data of 《 Statistical Yearbook 2007》 of our country about the incidence of tuberculosis during 1998-2006, GM ( 1,1 ) was used to forecast the incidence of tuberculosis during 2007-2009. Results The prognosticating precision of GM ( 1,1 ) (,) was eligible in accordance with the criterion of Grey model prognostication assessment, the fitting effect is ideal. Conclusion The incidence of tuberculosis during 2007-2009 will be 114. 185 4,131. 425 6,151. 174 8, the high incidence indicates that the department of epidemic prevention should enhance the prevention and control of tuberculosis.
Keywords:Incidence of tuberculosis Grey model Forecast
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