Abstract: The process of infectious disease transmission contains a large amount of spatio-temporal information. In order to further explore the value of spatio-temporal information and enhance the monitoring and early warning capabilities of infectious diseases, this paper integrates basic spatio-temporal data and spatio-temporal data of infectious disease transmission to construct a spatio-temporal data warehouse and analysis tool for infectious disease monitoring and early warning. The key technologies, such as unified spatial code encoding based on spatial three-dimensional grids, address recognition and error correction based on machine learning, and spatio-temporal aggregation analysis in the WebGIS environment, are studied to achieve the analysis and visualization of infectious disease data distribution and inference results, providing refined risk area early warning and decision support capabilities for infectious disease monitoring and early warning.

Key words: infectious disease, monitoring and early warning, data warehouse, spatio-temporal data, spatio-temporal analysis