Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm

Krivorotko, O., Sosnovskaia, M., Vashchenko, I. et al. (2 more authors) (2022) Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm. Infectious Disease Modelling, 7 (1). pp. 30-44. ISSN 2468-0427

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Item Type: Article
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© 2021 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Epidemiology; Agent-based modeling; COVID-19; Interventions analysis; Coronavirus data analysis; Forecasting scenarios; Reproduction number; Optimization; Parameter identification
Dates:
  • Published: March 2022
  • Published (online): 27 November 2021
  • Accepted: 24 November 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Dec 2024 15:11
Last Modified: 18 Dec 2024 15:11
Status: Published
Publisher: KeAi Communications
Identification Number: 10.1016/j.idm.2021.11.004
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