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Pandemic infection forecasting through compartmental model and learning-based approaches
Motivated by this, we present a hybrid pandemic infection forecasting methodology that integrates compartmental model and learning-based approaches.
A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases
Severe acute respiratory disease SARS-CoV-2 has had a found impact on public health systems and healthcare emergency response especially with respect to making decisions on the most effective measures to be taken at any given time.
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