Cargando…
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...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
|
| Materias: | |
| 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 |