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Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany
During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resources. In this context, several experts have called for the necessity to account for …