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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...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2021
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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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collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8545039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
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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