The doi 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

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

Dataset

• Applied Mathematics
• Mathematical Sciences

bed occupancy, corona, COVID-19, forecast, IC units

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Stef Baas

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

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

4TU.ResearchData

R code

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

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