Nowcasting COVID‐19 incidence indicators during the Italian first outbreak

A novel parametric regression model is proposed to fit incidence data typically collected during epidemics. The proposal is motivated by real‐time monitoring and short‐term forecasting of the main epidemiological indicators within the first outbreak of COVID‐19 in Italy. Accurate short‐term predicti...

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Detalles Bibliográficos
Autores principales: Alaimo Di Loro, Pierfrancesco, Divino, Fabio, Farcomeni, Alessio, Jona Lasinio, Giovanna, Lovison, Gianfranco, Maruotti, Antonello, Mingione, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242495/
https://www.ncbi.nlm.nih.gov/pubmed/33955571
http://dx.doi.org/10.1002/sim.9004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242495/
https://www.ncbi.nlm.nih.gov/pubmed/33955571
http://dx.doi.org/10.1002/sim.9004

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