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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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	SongTao Zhang, LiHong Yang
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Subjects:	Hybrid Data Assimilation COVID-19 Forecasting EnKF KNN
Online Access:	https://doi.org/10.1038/s41598-025-85593-z