首先，利用疾病传播的一般规律及人口守恒统计法则建立了四类人的SARS传染病数学模型，然后运用数学方法对四类人的SARS传染病数学模型进行分析，得出了其生理意义和预防、控制机理。其次，利用人工神经网络理论建立了SARS的预测模型，以北京市的SARS数据为例进行了预测和分析，预测结果显示该模型简单易行，预测精度高。

First, based on the law of disease propagation and conservation of population statistics, this paper sets up mathematical models of four kinds of person for SARS, applies mathematical method to analyze the model, and it gets the physiology senses of the mathematical model and mechanism of prevention and control respectively. Second, it sets up predictive models of SARS epidemic disease using BP artificial neural network. According to the data of SARS in Beijing, it predicts and analyzes the model. The experimental results show that the method is simpler, and more effective with high prediction precision。