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Mobility-informed metapopulation models predict the spatio-temporal spread of respiratory epidemics across scales

2025-06-26 epidemiology Title + abstract only
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Understanding the spatiotemporal dynamics of infectious disease spread is critical for anticipating epidemic trajectories and guiding public health responses. Accurate forecasts of where and when outbreaks are likely to emerge can support efficient resource allocation, particularly during the early stages of epidemics when surveillance data are limited. In this study, we used empirical human mobility data derived from county-level commuting and air traffic flows, and a theoretical mobility model...

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