Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort
Abstract
Background The impact of Covid-19 and its long-term consequences is not yet fully understood. Sick leave can be seen as an indicator of health in a working age population, and the present study aimed to investigate sick-leave patterns after Covid-19, and potential factors predicting longer sick leave in hospitalised and non-hospitalised people with Covid-19. Methods The present study is a comprehensive national registry-based study in Sweden...
Paper Details
Title
Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort
Published Date
May 31, 2021
Journal
Volume
21
Issue
1
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History