Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics. (arXiv:2210.10888v1 [cs.LG])

The COVID-19 pandemic has affected countries across the world, demanding
drastic public health policies to mitigate the spread of infection, leading to
economic crisis as a collateral damage. In this work, we investigated the
impact of human mobility (described via international commercial flights) on
COVID-19 infection dynamics at the global scale. For this, we developed a graph
neural network-based framework referred to as Dynamic Connectivity GraphSAGE
(DCSAGE), which operates over spatiotemporal graphs and is well-suited for
dynamically changing adjacency information. …

arxiv aviation deep learning pandemics strategies