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

Jiayao Lei Mark S ClementsMiriam ElfströmKalle Conneryd LundgrenJoakim Dillner

Published in: PloS one (2022)

A robust Markov model enabled use of simple SARS-CoV-2 testing data for quantifying past and future COVID-related sick leave among HCWs, which can serve as a basis for planning of healthcare during outbreaks.

Keyphrases

sars cov
healthcare
respiratory syndrome coronavirus
current status
coronavirus disease
electronic health record
machine learning
artificial intelligence
data analysis