Multiscale influenza forecasting

Influenza forecasting in the United States (US) is complex and challenging due to spatial and temporal variability, nested geographic scales of interest, and heterogeneous surveillance participation. Here we present Dante, a multiscale influenza forecasting model that learns rather than prescribes s...

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Detalles Bibliográficos
Autores principales: Osthus, Dave, Moran, Kelly R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137955/
https://www.ncbi.nlm.nih.gov/pubmed/34016992
http://dx.doi.org/10.1038/s41467-021-23234-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137955/
https://www.ncbi.nlm.nih.gov/pubmed/34016992
http://dx.doi.org/10.1038/s41467-021-23234-5

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