The spread and outbreak of infectious diseases are big challenges for human beings. Infectious diseases brought human a number of disasters in history, and in modern times it also caused great loss to people. With the development of science and technology, a large number of researchers have contributed to the pathogenic characteristics, the spread and outbreak pattern of infectous diseases from the perspective of molecular biology, clinical medicine and epidemiology. There are 2 important issues in the study of infectious diseases: the diffusion law and the behaviors of disease-related groups. People have made exploration to effectively prevent and control epidemics. In 1840s, people began to use simple mathematical models to describe and predict the spread of the epidemics. Then the classical SIR model appeared. In the times of computational methods, we used simulation based on agent. Theses methods well explained the mechanism of the spread of infectious disease. But with the development of society, the structure of community and population is getting increasingly complex, the local temporal-spatial distribution and the patients’ behaviors are constantly changing, so it calls for specific targets for epidemics research. With questionnaire and sample survey data, some researchers adopted statistic methods and econometric model to make exploratory analysis to study the behaviors of patients in a small township-level region. It is a fact that patients’ behaviors are influenced by the level of local economy, the city planning, the distribution of medical resources and people travelling habits and many other factors, so they may be much different between different cities. Moreover, study on the behaviors of patients of a specific infectious disease in a large city based on the general surveillance data is lacking at present. As a metropolitan with high population density, frequent flow of people and complex social economic structure, Beijing has a high risk on infectious disease. The good infectious diseases surveillance network provides good condition for research. With the general surveillance data of Beijing 2010 HFMD and diarrhoea, this paper introduced a statistical method to describe the distrubution of HFMD and diarrhoea in the perspective of time, space and population. Spatial statistical methods were used to mine the time-space clustering. To predict the patients’ treatment seeking choice pattern, gravity model and multinomial logit model were...
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