ArticleNature communications2023
A hybrid register and questionnaire study of Covid-19 and post-acute sick leave in Denmark.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Acute SARS-CoV-2 infection and self-reported post-acute cognitive dysfunctions from the Danish EFTER-COVID survey.Communications medicine · 2026Article
- Work ability trajectories and sick leave in individuals with post COVID-19 condition: 3-year follow-up of a population-based cohort.The Lancet regional health. Europe · 2026Article
- Daily staffing trends and variation in Swiss long-term care from 2018-2023: A retrospective longitudinal analysis.International journal of nursing studies advances · 2025Article
- Long COVID-19 and longer sick leave: longitudinal study of economically active patients.ERJ open research · 2025Article
- Health-related adverse work outcomes associated with post COVID-19 condition: a cross-sectional study.BMJ public health · 2025Article
- Post-COVID-19 Condition Fatigue Outcomes Among Danish Residents.JAMA network open · 2024Article
- Changes in Working Situations of Employed Long COVID Patients: Retrospective Study in Japanese Outpatient Clinic.Journal of clinical medicine · 2024Article
- Exploring the dynamics of COVID-19 in a Greenlandic cohort: Mild acute illness and moderate risk of long COVID.IJID regions · 2024Article
- Cohort profile: EFTER-COVID - a Danish nationwide cohort for assessing the long-term health effects of the COVID-19 pandemic.BMJ open · 2024Article
- Symptom trajectories of post-COVID sequelae in patients with acute Delta or Omicron infection in Bergen, Norway.Frontiers in public health · 2024Article
- Machine learning identifies risk factors associated with long-term sick leave following COVID-19 in Danish population.Communications medicine · 2023Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-acute sick leave is an underexplored indicator of the societal burden of SARS-CoV-2. Here, we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which include 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index- and alpha-dominant waves. We observe that an additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave is defined as >1 month of sick leave within the period 1-9 months after the RT-PCR test date. Being female, 50-65 years, or having certain pre-existing health conditions such as obesity, chronic lung diseases, and fibromyalgia each increase risk for taking substantial sick leave. Altogether, these results may help motivate improved diagnostic and treatment options for persons living with post-Covid conditions.
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