Plasmodiophora brassicae is an obligate parasite and a natural soil inhabitant that causes clubroot, a disease with significant economic impact in plants of the Brassicaceae family. This pathology is conditioned by plant/host interactions, edaphoclimatic variables, and mechanisms of inoculum dispersal. However, the epidemiology of this pathogen is not well understood, thereby limiting its incorporation into integrated disease management strategies (IDM). The objective of this work was to adjust a mesoscale risk and prognostic model of P. brassicae based on edaphoclimatic factors and potential dispersal mechanisms in brassica-producing areas in Colombia. The presence and inoculum density of the pathogen were determined by visual inspection of symptoms and quantification by qPCR of soil samples in a total of 127 plots located in regions with the highest production of species from the Brassicaceae family. In addition, an edaphoclimatic characterization was carried out based on field data and secondary information by web scraping using freely available databases. The forecast models were determined by fitting a Generalized Linear Model (GLM) using the logit and inverse link functions for binomial and gamma distributions, respectively. The meso- and macroscale spatial risk model was developed under point pattern approaches (Kernel density model and ecological niche model (ENM). The different epidemiological analysis approaches used suggest that P. brassicae presents a high risk in areas with host presence and conducive edaphoclimatic characteristics, indicating the need to carry out epidemiological surveillance, reduce the dispersion of infested soil, and implement P. brassicae exclusion methods.