A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction
Abstract This study introduces a hybrid data assimilation method that significantly improves the predictive accuracy of the time-dependent Susceptible-Exposed-Asymptomatic-Infected-Quarantined-Removed (SEAIQR) model for epidemic forecasting. The approach integrates real-time Ensemble Kalman Filterin...
Gardado en:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1038/s41598-025-85593-z |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|