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

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 spr...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545039/
https://www.ncbi.nlm.nih.gov/pubmed/35783814
http://dx.doi.org/10.1109/LCSYS.2021.3050954
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description 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.
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spelling pubmed-85450392022-06-29 Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model IEEE Control Syst Lett Article 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. IEEE 2021-01-11 /pmc/articles/PMC8545039/ /pubmed/35783814 http://dx.doi.org/10.1109/LCSYS.2021.3050954 Text en This article is free to access and download, along with rights for full text and data mining, re-use and analysis.
spellingShingle Article
Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
title Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
title_full Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
title_fullStr Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
title_full_unstemmed Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
title_short Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
title_sort capturing the effects of transportation on the spread of covid-19 with a multi-networked seir model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545039/
https://www.ncbi.nlm.nih.gov/pubmed/35783814
http://dx.doi.org/10.1109/LCSYS.2021.3050954
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