Review for NeurIPS paper: Interpretable Sequence Learning for Covid-19 Forecasting

In the related work section, the authors summarize some related models for infectious diseases and address their weaknesses. However, it seems none of them are used as baseline models for comparison in the experiment section. Instead, the authors present the results of five top-performing models designed for COVID-19. It would be better if the authors can give a summary of these COVID-19 models to address their weakness and point out the major improvement of their method compared with these ones. The author claims the extra compartment has significant benefits for the prediction. However, Table 4 does not directly show this benefit.