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1 Ergebnisse
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Predicting past and future SARS-CoV-2-related sick leave us..:
Jiayao Lei
;
Mark Clements
;
Miriam Elfström
..
https://doi.org/10.1371/journal.pone.0273003. , 2022
Link:
https://doi.org/10.1371/journal.pone.0273003
RT Journal T1
Predicting past and future SARS-CoV-2-related sick leave using discrete time Markov modelling
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ada71b43f0cc40d6978c733acd2623f1&Exemplar=1&LAN=DE A1 Jiayao Lei A1 Mark Clements A1 Miriam Elfström A1 Kalle Conneryd Lundgren A1 Joakim Dillner PB Public Library of Science (PLoS) YR 2022 K1 Medicine K1 R K1 Science K1 Q JF https://doi.org/10.1371/journal.pone.0273003 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0273003 DO https://doi.org/10.1371/journal.pone.0273003 SF ELIB - SuUB Bremen
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