An epidemic grading and prediction method, the method comprising: training and testing an epidemic prediction model to obtain an optimised epidemic prediction model and using the optimised epidemic prediction model to implement prediction on epidemic monitoring data before a time point to be tested; on the basis of the epidemic prediction model, determining the size of a grading time window; and, on the basis of the prediction results of each time point before the time point to be tested and the size of the grading time window, determining the epidemic risk level of the time point to be tested. Also provided in the present application are an epidemic grading and prediction apparatus, a computer apparatus, and a readable storage medium. The present application can improve the accuracy of determining epidemic risk level.
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