Infectious disease space-time diffusion prediction method and device based on spatial clustering discrete grid

The invention relates to an infectious disease space-time diffusion prediction method and device based on a spatial clustering discrete grid. The method comprises the following steps: dividing an epidemic area into n sub-areas; determining position information of an epidemic outbreak point according to the case historical data and a preset time period; determining an infection area in the n sub-areas according to the position information of the epidemic outbreak point and the spatial correlation among the n sub-areas; and according to the population data of the infected area, determining the predicted case number of the infected area at each moment. According to the epidemic situation prediction method disclosed by the invention, prediction can be carried out in each sub-region in the epidemic area through technical means such as a 3sigma criterion, a spatial clustering discrete grid, crowd aggregation analysis and a frequent pattern, the epidemic situation condition of each region is respectively determined,