Prevalence and risk factors for long COVID among adults in Scotland using electronic health records: a national, retrospective, observational cohort study-Reference-Cited by-同舟云学术

Prevalence and risk factors for long COVID among adults in Scotland using electronic health records: a national, retrospective, observational cohort study

Published:2024-05 Issue: Volume:71 Page:102590
ISSN:2589-5370
Container-title:eClinicalMedicine
language:en
Short-container-title:eClinicalMedicine

Author:

Jeffrey Karen^ORCID,Woolford Lana^ORCID,Maini Rishma^ORCID,Basetti Siddharth^ORCID,Batchelor Ashleigh,Weatherill David^ORCID,White Chris^ORCID,Hammersley Vicky^ORCID,Millington Tristan^ORCID,Macdonald Calum^ORCID,Quint Jennifer K.^ORCID,Kerr Robin^ORCID,Kerr Steven^ORCID,Shah Syed Ahmar^ORCID,Rudan Igor^ORCID,Fagbamigbe Adeniyi Francis^ORCID,Simpson Colin R.^ORCID,Katikireddi Srinivasa Vittal^ORCID,Robertson Chris^ORCID,Ritchie Lewis^ORCID,Sheikh Aziz^ORCID,Daines Luke^ORCID

Publisher

Elsevier BV

Reference27 articles.

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2. A clinical case definition of post-COVID-19 condition by a Delphi consensus;Soriano;Lancet Infect Dis,2022

3. Long-Term sequelae of COVID-19: a systematic review and meta-analysis of one-year follow-up studies on post-COVID symptoms;Han;Pathogens,2022

4. Risks and burdens of incident diabetes in long COVID: a cohort study;Xie;Lancet Diabetes Endocrinol,2022

5. Association of COVID-19 with major arterial and venous thrombotic diseases: a population-wide cohort study of 48 million adults in England and Wales;Knight;Circulation,2022

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1. The Association between Self-Reported Long COVID Symptoms and COVID-19 Conspiracy Theories in Jordan and Kuwait;COVID;2024-09-12

2. Understanding the clinical characteristics and timeliness of diagnosis for patients diagnosed with Long COVID: A retrospective observational cohort study from North West London;2024-08-31

3. Identifying Long COVID Definitions, Predictors, and Risk Factors in the United States: A Scoping Review of Data Sources Utilizing Electronic Health Records;Informatics;2024-06-14

4. Clinical coding of long COVID in primary care 2020–2023 in a cohort of 19 million adults: an OpenSAFELY analysis;eClinicalMedicine;2024-06