A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features

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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Bibliographic Details
Main Authors: Jiajia Luo, Xuan Wang, Xiaomao Fan, Yuxin He, Xiangjun Du, Yao-Qing Chen, Yang Zhao
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Public Health
Subjects:
Influenza prediction
Spatiotemporal interaction
Graph neural network (GNN)
Functional topology
Socio-economic association
Online Access:https://doi.org/10.1186/s12889-025-21618-6
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