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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...
Autores principales: | Lei, Jiayao, Clements, Mark, Elfström, Miriam, Lundgren, Kalle Conneryd, Dillner, Joakim |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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