The Sars Epidemic Environmental Factors In Gis-based Analysis And Information Systems

Severe Acute Respiratory Syndrome (SARS) is a big disaster the human face to in the beginning of the new century, which has result in huge damage to the health and life safety of the people in the world. SARS has spread to 32 countries and areas in about half a year. As a result, it becomes a new type of infectious disease, which force the World Healthy Organization (WHO) and some counties to study it, prevent it and seek method to cure it. Since SARS broke out, there are 26 provinces, cities and municipalities suffered from damage of SARS successively, especially Guangzhou and Beijing in China. According to the science research, SARS virus is a kind of animalcule invading human body. Although infection fountain itself is the most important factor of SARS' infection, circumstance conditions also have a tremendous influence on survival and active of SARS virus in addition to immunity of human that cannot be ignored.This thesis is based on the close relation between the prevalence of infectious diseases and its environment. After the analysis of the characters of the environment that cause to the prevail of the SARS, we will discover that the characters of the environments may affect to the prevail of SARS in some ways. So we can combine the GIS technology, neural network and other mathematics methods to establish a model to search for the relations between the prevalence of SARS and the multi-factors of environment. Based on the model and its trends, we can forecast the ranks of SARS in different region and different time. We will have enough information to establish SARS Management and Forecast Information System. This system is not only to handle the SARS information but also afford the inquiry and statistics of the basic information about SARS. Further more the system can make use of the analysis of the model to forecast the epidemic situation. This research is a new method to discover the rule of the prevalence of SARS. Moreover, the research result can also be used to forecast the other epidemic diseases' outbreak and prevalence, thus will give enough details for the government the make correct decisions.