Design of a Visualization System for Infectious Disease Transmission and Control Based on Multi-source Spatio-Temporal Data

Abstract

In order to visualize the spread of infectious diseases, this paper provides some references and suggestions for the prevention and control of infectious diseases. In this paper, the epidemic data, spatiotemporal individual trajectory data and individual contact network based on subway IC card and mobile phone signaling data are visualized and analyzed, and the classic infectious disease dynamics model SEIRS model has been expanded and improved to make it more realistic. On this basis, a web-side application is developed. The system uses B/S (Browser/Server) architecture for development. Through HTML, CSS, JavaScript integration library Echarts, Ajax and other technologies. Using this system, users can interact, explore and view the development of infectious diseases interactively. This paper provides a new solution and research ideas for the prevention and control of infectious diseases.