| SARS疫情传播的时间序列分析 |
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| 引用本文： | 高世泽.SARS疫情传播的时间序列分析[J].重庆师范大学学报(自然科学版),2004,21(3):8-12. |
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| 作者姓名： | 高世泽 |
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| 作者单位： | 重庆师范大学,数学与计算机科学学院,重庆,400047 |
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| 摘 要： | 利用时间序列分析的思想1～3],对北京市2003年4～6月的累计确诊SARS病例进行研究,获得了日增确诊病例的变化趋势方程,并用自回归模型AR(20)来拟合传播过程,经方差分析知模型效果高度显著,将预测值与实际值比较,结果比较理想.由此推定每个SARS病人可以直接造成他人感染的期限平均在20天左右.
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| 关 键 词： | SARS疫情 时间序列分析 趋势方程 自回归模型 |
| 文章编号： | 1672-6693(2004)03-0008-05 |
| 修稿时间： | 2004年3月30日 |
Analysis of Time Series of Transmission of SARS |
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| GAO Shi-ze.Analysis of Time Series of Transmission of SARS[J].Journal of Chongqing Normal University:Natural Science Edition,2004,21(3):8-12. |
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| Authors: | GAO Shi-ze |
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| Abstract: | In this paper the accumulative cases of SARS that have been made a definite diagnosis from April to June, 2003, in Beijing are investigated by analysis of time series. We give the trend equations of incremental cases of SARS every day. We also give a model AR(20) of Transmission of SARS. The model is notable at high level by analysis of variance. It is very good by comparing the predicted values with observed values. Therefore, we infer that the average time that a patient with SARS transmit other one is about 20 days. |
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| Keywords: | SARS analysis of time series trend equations autoregressive model |
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