Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks

  title={Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks},
  author={M{\'a}rio Cardoso and Andr{\'e}a de F{\'a}tima Cavalheiro and Alexandre Borges and Ana F. Duarte and Am{\'i}lcar Soares and Maria Jo{\~a}o Pereira and Nuno Jardim Nunes and Leonardo Azevedo and Arlindo L. Oliveira},
  journal={ACM Transactions on Spatial Algorithms and Systems},
  pages={1 - 19}
Europe was hit hard by the COVID-19 pandemic and Portugal was severely affected, having suffered three waves in the first twelve months. Approximately between January 19th and February 5th 2021 Portugal was the country in the world with the largest incidence rate, with 14-day incidence rates per 100,000 inhabitants in excess of 1,000. Despite its importance, accurate prediction of the geospatial evolution of COVID-19 remains a challenge, since existing analytical methods fail to capture the… 

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