Can a data driven obesity classification system identify those at risk of severe COVID-19 in the UK Biobank cohort study?

Clark, S orcid.org/0000-0003-4090-6002, Morris, M orcid.org/0000-0002-9325-619X, Lomax, N orcid.org/0000-0001-9504-7570 et al. (1 more author) (2021) Can a data driven obesity classification system identify those at risk of severe COVID-19 in the UK Biobank cohort study? International Journal of Obesity, 45. pp. 2281-2285. ISSN 0307-0565

Abstract

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Copyright, Publisher and Additional Information: © The Author(s) 2021. 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 23 June 2021
  • Published (online): 6 July 2021
  • Published: October 2021
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: 27 May 2021 13:38
Last Modified: 01 Dec 2021 08:37
Status: Published
Publisher: Springer Nature
Identification Number: https://doi.org/10.1038/s41366-021-00891-6

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