DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction
Chaoyue Sun,
Ruogu Fang,
Marco Salemi
et al.
Abstract:In the midst of an outbreak or sustained epidemic, reliable prediction of transmission risks and patterns of spread is critical to inform public health programs. Projections of transmission growth or decline among specific risk groups can aid in optimizing interventions, particularly when resources are limited. Phylogenetic trees have been widely used in the detection of transmission chains and high-risk populations. Moreover, tree topology and the incorporation of population parameters (phylodynamics) can be … Show more
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