Abstract: The epidemic has profoundly changed the world’s landscape. In the current modeling and analysis of the epidemic’s spatiotemporal dynamics, there is a lack of accurate descriptions of individual and collective trajectories, making it difficult to meet the demands for precision epidemic prevention. To address this issue, based on the analysis of existing methods for spatiotemporal analysis of the epidemic and trajectory description models, combined with health code punch-in data, a spatiotemporal three- dimensional coordinate system is established with latitude and longitude as the x and y axes and time as the z axis. The health code punch-in data are used as trajectory nodes to present the spatiotemporal tra- jectories of carriers and close contacts. Individual, paired, and group trajectories are accurately described in sequence, thereby constructing a “mountain-shaped” trajectory description model that integrates spatiotemporal topological relationships. This model accurately locates the spatiotemporal range that needs to be controlled within the three-dimensional coordinate system, thereby achieving precise epidemic prevention. Experiments conducted on the Foursquare Dataset simulation dataset demonstrate that the “mountain” model effectively reduces the scope of investigation and the number of personnel, and it has broad application scenarios.

Key words: trajectory description model, precise epidemic prevention, health code punch-in data