A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features
Abstract Background Accurate and timely monitoring of influenza prevalence is essential for effective healthcare interventions. This study proposes a graph neural network (GNN)-based method to address the issue of cross-regional connectivity in predicting influenza outbreaks, aiming to achieve real-...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-02-01
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Series: | BMC Public Health |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12889-025-21618-6 |
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