【摘要】 目的探讨时间序列预测模型在症状监测预测预警方面的应用。方法对症状监测信息系统中采集到的上海市浦东新区三林和高东社区卫生服务中心2007年7月~2008年6月门诊就诊中呼吸道症候群数进行建模拟合,2008年7月的数据用来进行模型验证。结果温特斯乘法模型能很好地拟合呼吸道症状在时间序列上的变动趋势,与2008年7月的预测值平均相对误差为4.17%。结论温特斯乘法模型能够较好应用于症状监测预测预警,为早期识别异常信号提供科学依据。更多还原

【Abstract】 Objective To explore the application of time series forecasting model in forecasting and early warning in symdromic surveillance. Methods The number of outpatient respiratory syndrome from July 2007 to June 2008 was collected from Symdromic Surveillance Information System in Sanlin and Gaodong Community Health Center in Shanghai Pudong New Area.The model was established and the data in July 2008 was used for model validation.Results Winters method can fit on the changes in time series trend of respiratory symptoms.The average relative error of predictive value was 4.17%.Conclusions Winters method could be applied in forecasting and early warning in symdromic surveillance and it provide a scientific basis for early identification of abnormal signals.更多还原