Design And Implementation Of Multi-Dimensional Visualization Platform For Infectious Disease Transmission Data

In recent years,various malignant infectious diseases such as SARS,Ebola,and novel coronavirus pneumonia have erupted one after another,which has had a huge impact on the stability of human society and the economic situation.The information and data generated by various infectious diseases in the process of spreading has attracted more and more attention.A number of news reports and data platforms efficiently disseminate information and data of infectious diseases through visualization technology,spread information on the prevention and control of infectious diseases and spread trends,and make users aware of what to do.It is important to take good care of your own preventive measures and cooperate with the government’s prevention and control work.However.multi-dimensional information data and specialized user needs have extremely adverse effects on the effective dissemination of information and data.In response to the above problems,based on the previous work,this paper takes the novel coronavirus pneumonia as an example to study the needs of users under the prevention and control policies with Chinese characteristics such as "dynamic clearing",and analyzes the characteristics of infectious disease transmission information data.Appropriate visualization methods are used to build a data information dissemination platform.The main research results and work are briefly described as follows:1.Collect and analyze infectious disease transmission data.According to the characteristics of infectious disease transmission data,infectious disease transmission data is divided into attribute data,time data,space data Four types of data and relational data,in-depth study of the attributes,characteristics and corresponding visualization methods of different types of data.2.Through user research,explore the changes in the needs of different types of users at different stages of the epidemic,and select different types of communication data for visual expression according to user needs,and finally build a visualization platform to meet users’ desire for intuitive and convenient access to epidemic transmission data.