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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...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: SongTao Zhang, LiHong Yang
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Nature Portfolio 2025-01-01
Rangatū:Scientific Reports
Ngā marau:
Urunga tuihono:https://doi.org/10.1038/s41598-025-85593-z
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