Code for paper Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units

DOI:10.4121/82c58053-92a3-4a9b-8632-1fda61b84974.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/82c58053-92a3-4a9b-8632-1fda61b84974
Datacite citation style:
Baas, Stef (2024): Code for paper Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/82c58053-92a3-4a9b-8632-1fda61b84974.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Code for forecasting ICU and ward occupancy. Research objective: forecasting ward and ICU occupancy by COVID-19 patients using a discrete event simulation, type of research: forecasting evaluation, method of data collection: simulation, type of data: R code

History

  • 2024-06-24 first online, published, posted

Publisher

4TU.ResearchData

Format

R code

Organizations

University of Twente, Center for Healthcare Operations Improvement and Research (CHOIR)

DATA

Files (1)