Prevalence, risk factors and characterisation of individuals with long COVID using Electronic Health Records in over 1.5 million COVID cases in England
This study is the first to investigate the prevalence and risk factors of clinically confirmed long-COVID in the general population. The findings could help clinicians identify higher risk individuals for timely intervention and allow decision-makers to more efficiently allocate resources for managing long-COVID.
Authors
- Han‐I Wang (ORCID: https://orcid.org/0000-0002-3521-993X)
- Muhammad Qummer Ul Arfeen
- Melissa Heightman (ORCID: https://orcid.org/0000-0002-7507-2119)
- Michael G. Crooks (ORCID: https://orcid.org/0000-0001-6876-0258)
- Antony Loveless
- Christina M. van der Feltz‐Cornelis (ORCID: https://orcid.org/0000-0001-6925-8956)
- Tim Doran (ORCID: https://orcid.org/0000-0001-7857-3704)
- Amitava Banerjee (ORCID: https://orcid.org/0000-0001-8741-3411)
- Kamlesh K. Khunti (ORCID: https://orcid.org/0000-0003-2343-7099)
- Arturo González-Izquierdo (ORCID: https://orcid.org/0000-0002-0984-5830)
Institutions
- University College London Hospitals NHS Foundation Trust (GB)
- University of Leicester (GB)
- University College London (GB)
- University of York (GB)
- Hull York Medical School (GB)
Publication Details
- Journal
- Journal of Infection
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1016/j.jinf.2024.106235
- Citations
- 22
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 8.12
Funders
- Center for Participatory Research and Development
- National Institute for Health and Care Research
- NIHR Imperial Biomedical Research Centre
- NIHR Leicester Biomedical Research Centre