An SEIR Model for Assessment of COVID-19 Pandemic Situation

Sun, P orcid.org/0000-0001-8061-224X, Li, K orcid.org/0000-0001-6657-0522, Yang, Z et al. (1 more author) (2021) An SEIR Model for Assessment of COVID-19 Pandemic Situation. In: Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops. 2020 International Conference on Life System Modeling and Simulation & 2020 International Conference on Intelligent Computing for Sustainable Energy and Environment, 25 Oct 2020, Hangzhou, China. Springer Verlag , pp. 498-510. ISBN 978-981-33-6377-9

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Copyright, Publisher and Additional Information: © Springer Nature Singapore Pte Ltd. 2020. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: COVID-19; SEIR model; Coronavirus pandemic assessment
Dates:
  • Published: January 2021
  • Accepted: 15 October 2020
  • Published (online): 12 January 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Jan 2021 13:30
Last Modified: 27 Jan 2021 06:45
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-981-33-6378-6_37

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