| Literature DB >> 35783814 |
Damir Vrabac1, Mingfeng Shang1, Brooks Butler2, Joseph Pham3, Raphael Stern3, Philip E Pare2.
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.Entities:
Keywords: COVID-19; Control applications; SEIR model; transportation networks
Year: 2021 PMID: 35783814 PMCID: PMC8545039 DOI: 10.1109/LCSYS.2021.3050954
Source DB: PubMed Journal: IEEE Control Syst Lett