The Study Of The Transmission Rule Of SARS In Beijing By Random Network

Severe acuteres respiratory syndorme (SARS) caused by SARS coron-avirus (SARS-CoV) inefcted, found firstly in Gunagdong in Nov. 2002, is a new acute infectious disease. The outbreak of SARS during the spring of 2003 spread quickly to 32 countries or areas all over the world. There were more than 8000 reported SARS cases, more than 700 death cases. In China, There were 5327 reported SARS cases(1512 cases in Guangdong), 349 death cases (58 cases in Gunagdong). spring of 2004, there were 4 newly SARS cases in Gunagdong, besides, several SARS inefcting accidents happened at lab in Taiwan, Sigpaoer, China. SARS has become a new infectious disease which seriously threatens human health.To investigate the transmission rule of SARS, In one place, we can get the transmission rule in theory; In the other place, it can provide evidence for prevention and control to other infectious diseases.In the text, first of all, we review the study provided by others, such as taking advantage of the Malthus model and the Logistic model to fit the transmission rule of SARS, in Beijing. The other resort to the SIR model to fit the transmission rule of SARS, in Beijing. they're well, but they're too ideal; So, we should do some deeper study, in this paper, we investigate the transmission of SARS in Beijing with Random network theory, and provide well result and feasible methods about prevention.After Comparing, we can see that, Although the past model can made us learn the rule directly, but it's only a discription after SARS outbreak. we also can get that, When T is smaller than 0.0375, SARS can't reach big outbreak, by Random network theory.