Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe

Modelling the spread of coronavirus globally while learning trends at global and country levels remains crucial for tackling the pandemic. We introduce a novel variational-LSTM Autoencoder model to predict the spread of coronavirus for each country across the globe. This deep Spatio-temporal model d...

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Detalles Bibliográficos
Autores principales: Ibrahim, Mohamed R., Haworth, James, Lipani, Aldo, Aslam, Nilufer, Cheng, Tao, Christie, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842932/
https://www.ncbi.nlm.nih.gov/pubmed/33507932
http://dx.doi.org/10.1371/journal.pone.0246120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842932/
https://www.ncbi.nlm.nih.gov/pubmed/33507932
http://dx.doi.org/10.1371/journal.pone.0246120

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