Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence

Janko, V, Reščič, N, Vodopija, A et al. (9 more authors) (2023) Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence. Frontiers in Public Health, 11. 1073581. ISSN 2296-2565



Copyright, Publisher and Additional Information: © 2023 Janko, Reščič, Vodopija, Susič, De Masi, Tušar, Gradišek, Vandepitte, De Smedt, Javornik, Gams and Luštrek. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: COVID-19, multi-objective optimization, epidemiological modeling, machine learning, intervention plans
  • Accepted: 25 January 2023
  • Published (online): 13 February 2023
  • Published: 13 February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Work and Employment Relation Division (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Feb 2023 14:00
Last Modified: 25 Jun 2023 23:14
Status: Published
Publisher: Frontiers Media
Identification Number: https://doi.org/10.3389/fpubh.2023.1073581