Within and between-day variation and associations of symptoms in Long Covid: intensive longitudinal study

Burton, C. orcid.org/0000-0003-0233-2431, Dawes, H., Goodwill, S. et al. (2 more authors) (2023) Within and between-day variation and associations of symptoms in Long Covid: intensive longitudinal study. PLOS ONE, 18 (1). e0280343.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 Burton 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: Fatigue; Physical activity; Apps; Accelerometers; Virus testing; Pain; COVID 19; Longitudinal studies
Dates:
  • Accepted: 27 December 2022
  • Published (online): 19 January 2023
  • Published: 19 January 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Academic Unit of Medical Education (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Jan 2023 11:28
Last Modified: 20 Jan 2023 11:28
Published Version: http://dx.doi.org/10.1371/journal.pone.0280343
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pone.0280343

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