Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection

Wu, S, Huang, Z, Grant-Muller, S et al. (2 more authors) (2023) Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection. Scientific Reports, 13. 7343. ISSN 2045-2322

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Authors/Creators:
  • Wu, S
  • Huang, Z
  • Grant-Muller, S
  • Gu, D
  • Yang, L
Copyright, Publisher and Additional Information: © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 26 April 2023
  • Published (online): 5 May 2023
  • Published: 5 May 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 May 2023 10:52
Last Modified: 09 May 2023 10:52
Status: Published
Publisher: Nature Research
Identification Number: https://doi.org/10.1038/s41598-023-34207-7
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