Predicting past and future SARS-CoV-2-related sick leave using discrete time Markov modelling

BACKGROUND: Prediction of SARS-CoV-2-induced sick leave among healthcare workers (HCWs) is essential for being able to plan the healthcare response to the epidemic. METHODS: During first wave of the SARS-Cov-2 epidemic (April 23(rd) to June 24(th), 2020), the HCWs in the greater Stockholm region in...

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Detalles Bibliográficos
Autores principales: Lei, Jiayao, Clements, Mark, Elfström, Miriam, Lundgren, Kalle Conneryd, Dillner, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374214/
https://www.ncbi.nlm.nih.gov/pubmed/35960755
http://dx.doi.org/10.1371/journal.pone.0273003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374214/
https://www.ncbi.nlm.nih.gov/pubmed/35960755
http://dx.doi.org/10.1371/journal.pone.0273003

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