In this paper 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.
|Original language||English (US)|
|Title of host publication||2021 American Control Conference, ACC 2021|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - May 25 2021|
|Event||2021 American Control Conference, ACC 2021 - Virtual, New Orleans, United States|
Duration: May 25 2021 → May 28 2021
|Name||Proceedings of the American Control Conference|
|Conference||2021 American Control Conference, ACC 2021|
|City||Virtual, New Orleans|
|Period||5/25/21 → 5/28/21|
Bibliographical noteFunding Information:
This manuscript was first submitted for review on September 14, 2020. This material is based upon work supported by the National Science Foundation under Grant No. CNS-2028946 (R.S.) and Grant No. CNS-2028738 (P.E.P.).
© 2021 American Automatic Control Council.