Author: Vrabac, D.; Shang, M.; Butler, B.; Pham, J.; Stern, R.; Pare, P. E.
Title: Capturing the Effects of Transportation on the Spread of COVID-19 with a Multi-Networked SEIR Model Cord-id: ikj12xq9 Document date: 2021_1_1
ID: ikj12xq9
Snippet: 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. © 2021 American
Document: 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. © 2021 American Automatic Control Council.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date