The invention discloses a schistosomiasis transmission risk
dynamic simulation method based on data fusion and AI, and relates to the technical field of intelligent
medical treatment. The method comprises the following steps: firstly, collecting environment,
biological media, crowd society and intervention measure multi-source heterogeneous data, and unifying the data to a standard spatio-temporal data cube; then data preprocessing is carried out, and feature variables strongly related to propagation risks are constructed; then the processed data and the characteristic variables are input into a risk
simulation engine, the engine adopts a
hybrid framework in which a mechanism model and an AI prediction model are deeply fused, a dynamic assimilation
algorithm is introduced, and
risk level maps of different spatial and
temporal scales in the future are output; finally, intervention measure scene
simulation is carried out based on the
risk level map, the cost-benefit ratio is quantitatively evaluated, and an optimal prevention and control strategy suggestion is generated. According to the method, the
hysteresis and static defects of a traditional method are overcome, and real-time sensing,
dynamic prediction and
intelligent decision support of the schistosomiasis transmission risk are achieved.