TY - GEN
T1 - Capturing the Effects of Transportation on the Spread of COVID-19 with a Multi-Networked SEIR Model
AU - Vrabac, Damir
AU - Shang, Mingfeng
AU - Butler, Brooks
AU - Pham, Joseph
AU - Stern, Raphael
AU - Pare, Philip E.
N1 - Publisher Copyright:
© 2021 American Automatic Control Council.
PY - 2021/5/25
Y1 - 2021/5/25
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85111909540
UR - https://www.scopus.com/pages/publications/85111909540#tab=citedBy
U2 - 10.23919/ACC50511.2021.9483026
DO - 10.23919/ACC50511.2021.9483026
M3 - Conference contribution
AN - SCOPUS:85111909540
T3 - Proceedings of the American Control Conference
SP - 3152
EP - 3157
BT - 2021 American Control Conference, ACC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 American Control Conference, ACC 2021
Y2 - 25 May 2021 through 28 May 2021
ER -