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Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database
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Anoop D. Shah ,
Roles Conceptualization, Data curation, Formal analysis, Validation, Writing – original draft, Writing – review & editing
* E-mail: anoop@doctors.org.uk
Affiliations Institute of Health Informatics, University College London, London, United Kingdom, NIHR University College London Hospitals Biomedical Research Centre, University College London Hospitals NHS Trust, London, United Kingdom
⨯ -
Anuradhaa Subramanian,
Roles Formal analysis, Resources, Writing – review & editing
Affiliation Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
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Jadene Lewis,
Roles Formal analysis, Validation, Writing – review & editing
Affiliation Institute of Health Informatics, University College London, London, United Kingdom
⨯ - Samir Dhalla,
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Elizabeth Ford,
Roles Conceptualization, Writing – review & editing
Affiliation Brighton and Sussex Medical School, Brighton, United Kingdom
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Shamil Haroon,
Roles Conceptualization, Formal analysis, Resources, Writing – review & editing
Affiliation Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
⨯ - Valerie Kuan,
- Krishnarajah Nirantharakumar
https://orcid.org/0000-0002-8907-5724
Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database
- Anoop D. Shah,
- Anuradhaa Subramanian,
- Jadene Lewis,
- Samir Dhalla,
- Elizabeth Ford,
- Shamil Haroon,
- Valerie Kuan,
- Krishnarajah Nirantharakumar
- Published: September 26, 2023
- https://doi.org/10.1371/journal.pone.0290583