  We introduce DeepGLEAM, a hybrid model for COVID-19 forecasting. DeepGLEAM
combines a mechanistic stochastic simulation model GLEAM with deep learning. It
uses deep learning to learn the correction terms from GLEAM, which leads to
improved performance. We further integrate various uncertainty quantification
methods to generate confidence intervals. We demonstrate DeepGLEAM on
real-world COVID-19 mortality forecasting tasks.
