Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis A case study in the capitals of Brazil

Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis : A case study in the capitals of Brazil

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Détails bibliographiques
Publié dans:Expert systems with applications. - 1999. - 182(2021) vom: 15. Nov., Seite 115190
Auteur principal: da Silva, Tiago Tiburcio (Auteur)
Autres auteurs: Francisquini, Rodrigo, Nascimento, Mariá C V
Format: Article en ligne
Langue:English
Publié: 2021
Accès à la collection:Expert systems with applications
Sujets:Journal Article ARIMAX Anomaly COVID-19 EEMD Human mobility data Meteorological data
Accès en ligne Volltext