The Design Of H7N9Environment Factor Analysis And Information Systems Research Based On GIS

Early warning infectious disease surveillance is a major issue of concern inhuman society. Traditional Early warning infectious disease surveillance generallyuses monitoring data query and statistical analysis to be presented by data report. Theoperations which can not start from the geographical concept often lack the relevantdisease information of geographical space.Thus it can not reflect the relationship between geographic distributioncharacteristics and Spatial distribution characteristics of the epidemic effectively.While most spatial statistical analysis results can reflect the dynamic spatialdistribution of the disease, showing spatial detail information of disease. But due tothe lack of research of the cause of disease and influence factors, it can notaccurately forecast.This article starts from the relevance between the aggregation and environment,by analysing the incidence of the phenomenon of H7N9, finding that environmentalcharacteristics have a certain influence on the incidence of H7N9aggregation.Researched the model of the relationship between the H7N9epidemic andenvironmental factors by using Google Earth technology and neural networkmathematics analysis and established a model about H7N9epidemic with moreenvironmental factors. On the basis of the evolution of model and environmentalcharacteristics factor data, it reflects the different regions of the different periods ofthe H7N9pandemic level and spatial distribution prediction. Based on the study, Weestablished the H7N9epidemic situation management system. The system canmanage the information of epidemic situation, also can qurey and statisticse the basicinformation of H7N9. We can take advantage of the model we build to forcast thelevel of disease. This research helps us find and understand the spatiotemporalprinciples of H7N9’s epidemic from a new angle. And the result can be extended topredict other diseases’ occurrence and development, so that it can provides some scientific basis for the government’s decision-making in the treatment of diseases.