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Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model.
- Source :
-
IEEE control systems letters [IEEE Control Syst Lett] 2021 Jan 11; Vol. 6, pp. 103-108. Date of Electronic Publication: 2021 Jan 11 (Print Publication: 2022). - Publication Year :
- 2021
-
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.
Details
- Language :
- English
- ISSN :
- 2475-1456
- Volume :
- 6
- Database :
- MEDLINE
- Journal :
- IEEE control systems letters
- Publication Type :
- Academic Journal
- Accession number :
- 35783814
- Full Text :
- https://doi.org/10.1109/LCSYS.2021.3050954