Rolling interventions for controlling COVID-19 outbreaks in the UK to reduce healthcare demand

Yang, P. orcid.org/0000-0002-8553-7127, Qi, J., Yang, Y. et al. (2 more authors) (Accepted: 2020) Rolling interventions for controlling COVID-19 outbreaks in the UK to reduce healthcare demand. In: Proceedings of 2020 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. International Conference on Knowledge Discovery and Data Mining : KDD 2020, 23-27 Aug 2020, Online conference. Association for Computing Machinery (ACM) . (In Press)

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Association for Computing Machinery.
Keywords: Epidemic propagation; COVID-19; Mitigation; Suppression; SEIR
Dates:
  • Accepted: 14 July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jul 2020 07:03
Last Modified: 17 Jul 2020 07:03
Status: In Press
Publisher: Association for Computing Machinery (ACM)
Refereed: Yes
Related URLs:

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Filename: KDD-C19-2-Final.pdf

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