Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data

Wilson-Aggarwal, J.K. orcid.org/0000-0001-9156-8897, Gotts, N., Arnold, K. et al. (4 more authors) (2023) Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data. PLOS ONE, 18 (4). ARTN e0284512. ISSN 1932-6203

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 Wilson-Aggarwal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Humans; Health Personnel; Personnel, Hospital; Hospitals; Pandemics; COVID-19; SARS-CoV-2; Routinely Collected Health Data
Dates:
  • Accepted: 2 April 2023
  • Published (online): 21 April 2023
  • Published: 21 April 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 Apr 2024 09:50
Last Modified: 12 Apr 2024 09:50
Published Version: https://journals.plos.org/plosone/article?id=10.13...
Status: Published
Publisher: Public Library of Science (PLoS)
Identification Number: https://doi.org/10.1371/journal.pone.0284512
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