A Survey On Information Visualization For Epidemic Propagation

With the approaching of science and technology’s new era,the development of human society is accelerated and people’s way of life and thinking are greatly changed.More convenient means of transportation are brought to life and get themselves more and more mature,which motivate people to travel broader and faster,providing a good condition for the spread of infectious diseases.Infectious diseases are a great threat to human health and trend to cause social unrest if not handled with timely.With the rapid spread of the disease in our country and worldwide,its treatment cost and difficulty are increasing due to people panic and pathogen variants,which gives us a huge challenge in the aspect of ensuring the stability and security of societies people’s property.Recent years,bringing the field of information visualization research results to the spread of disease become a hot research direction because it can help us better understand the spread of disease,the impact and the internal mechanism of disease transmission,which aids us in the decision-making stage of disease prevention.As for the research in the field of disease transmission,traditional disease spread information visualization uses some relatively simple diagrams to describe the macroscopic disease information(general distribution,proportion of infections,etc.),lacking the disclosure of details of propagation and the internal mechanism of deduction.For example,node connection diagram just simply demonstrates small-scale infection transmitted between individuals,not generalizing to large-scale data visualization.For example,treemap method can only display the relationship betweenm large-scale dissemination of data and the weakening version of data.Experimental results show that the multi-level bundled edge algorithm is better than traditional bundled algorithms in the aspect of efficiency and effectiveness when handling with large-scale data.I study the latest interactive method and layout algorithm,and propose a multi-level bundle algorithm to solve the dots and lines crosscutting issues and make complex network clearer,then propose a fast convergence and force directed visual layout algorithm to solve the huge quantity of infected individuals and the complex relationship among them.At last I establish a disease spreading visualization system suitable for processing very large amount of disease spreading data.It can directly and accurately reflect the data,which makes it a good reference for taking a reasonable and effective measures for disease prevention and control.