Capturing the Effects of Transportation on the Spread of COVID-19 with a Multi-Networked SEIR Model

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 spre...

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Bibliographic Details
Published in2021 American Control Conference (ACC) pp. 3152 - 3157
Main Authors Vrabac, Damir, Shang, Mingfeng, Butler, Brooks, Pham, Joseph, Stern, Raphael, Pare, Philip E.
Format Conference Proceeding
LanguageEnglish
Published American Automatic Control Council 25.05.2021
Subjects
Analytical models
COVID-19
Epidemics
Limiting
Sociology
Sufficient conditions
Transportation
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Summary: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.
ISSN:2378-5861
DOI:10.23919/ACC50511.2021.9483026