Code for paper Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy

DOI:10.4121/b3fd0a0c-4f32-45e3-b931-fd4bd76dc0e0.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/b3fd0a0c-4f32-45e3-b931-fd4bd76dc0e0
Datacite citation style:
Baas, Stef (2024): Code for paper Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b3fd0a0c-4f32-45e3-b931-fd4bd76dc0e0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Code for patient reallocation over different hospitals or regions. Research objective: determining the benefits of regional re-allocation of COVID-19 patients using stochastic approximation and stochastic programming, type of research: simulation study, method of data collection: simulations, 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)