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In this letter we present a deterministic discrete-time networked SEIR model that includes a number of transportation networks, and present assumptions under which it is well defined. We analyze the… Click to show full abstract
In this letter we present a deterministic discrete-time networked SEIR model that includes a number of transportation networks, and present assumptions under which it is well defined. We analyze the limiting behavior of the model and present necessary and sufficient conditions for estimating the spreading parameters from data. We illustrate these results via simulation and with real COVID-19 data from the Northeast United States, integrating transportation data into the results.
Keywords:
capturing effects;
networked seir;
covid;
transportation;
model;
seir model
Journal Title: IEEE Control Systems Letters
Year Published: 2022
Link to full text (if available)
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Journal Title: IEEE Control Systems Letters
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!