Modeling epidemic dynamics using Graph Attention based Spatial Temporal networks
Modeling epidemic dynamics using Graph Attention based Spatial Temporal networks
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
The COVID-19 pandemic and influenza outbreaks have underscored the critical need for predictive models that can effectively integrate spatial and temporal dynamics to enable accurate epidemic forecasting. Traditional time-series analysis approaches have fallen short in capturing the intricate interplay between these factors. Recent advancements hav...
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Full title
Modeling epidemic dynamics using Graph Attention based Spatial Temporal networks
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TN_cdi_plos_journals_3081073591
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3081073591
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0307159
