An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values

Our study confirmed the negative impact of temporality on model performance for predicting COVID-19 infections, but it did not find such negative impact of temporality for predicting COVID-19 mortality. Shapley value revealed that there was a fixed set of four features that made predominant contributions for the mortality model across data in three years (2020-2022), while for the infection model there was no such fixed set of features across different years.