Understanding and predicting the spatio-temporal spread of COVID-19 via integrating diffusive graph embedding and compartmental models
{{output}}
In order to find useful intervention strategies for the novel coronavirus (COVID-19), it is vital to understand how the disease spreads. In this study, we address the modeling of COVID-19 spread across space and time, which facilitates understanding of the pan... ...
