Understanding the Clinical Characteristics and Timeliness of Diagnosis for Patients Diagnosed With Long Covid: A Retrospective Observational Cohort Study From North West London
Authors
Erik Mayer (ORCID: https://orcid.org/0000-0002-5509-4580)
Simon de Lusignan (ORCID: https://orcid.org/0000-0002-8553-2641)
Johannes H. De Kock (ORCID: https://orcid.org/0000-0002-2468-5572)
Darren Smith (ORCID: https://orcid.org/0000-0003-4925-467X)
Cassie Lee (ORCID: https://orcid.org/0009-0004-9449-0932)
Understanding the Clinical Characteristics and Timeliness of Diagnosis for Patients Diagnosed With Long Covid: A Retrospective Observational Cohort Study From North West London
Erik Mayer, Simon de Lusignan, Johannes H. De Kock, Darren Smith et al.
Citations
1 citations
Journal
Health Expectations
Topics
Long-Term Effects of COVID-19
Field-Weighted Citation Impact (FWCI)
1.39
article
Understanding the Clinical Characteristics and Timeliness of Diagnosis for Patients Diagnosed With Long Covid: A Retrospective Observational Cohort Study From North West London
Erik Mayer, Simon de Lusignan, Johannes H. De Kock, Darren Smith, Cassie Lee, Ruairidh Milne, Jonathan Clarke, Brendan Delaney, Denys Prociuk, Ghazala Mir
article en
1 citations
Abstract
No abstract available for this paper.
Publication Tag
Health ExpectationsVol. 28(5)
Institutions
University of Leeds (GB), Imperial College Healthcare NHS Trust (GB), University of Oxford (GB), NHS Highland (GB), NIHR Imperial Biomedical Research Centre (GB), ICON Technology & Process Consulting (United Kingdom) (GB), University of Southampton (GB), Imperial College London (GB)
Funders
Wellcome Trust, National Institute for Health and Care Research, NIHR Imperial Biomedical Research Centre, NIHR Oxford Biomedical Research Centre