Data set for Predicting hospital occupancy for covid-19 patients: a simulation approach based on archetypes of empirical services' trajectories

  1. Redondo, Eduardo 1
  2. Nicoletta, Vittorio 1
  3. Bélanger, Valérie 1
  4. Garcia-Sabater, Jose P. 1
  5. Landa, Paolo 1
  6. Maheut, Julien 2
  7. Marin-Garcia, Juan A. 2
  8. Ruiz, Angel 1
  1. 1 Univesite Laval
  2. 2 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

Verleger: Zenodo

Datum der Publikation: 2021

Art: Dataset

CC BY 4.0

DOI: 10.5281/ZENODO.5596152 lock_openOpen Access editor

Zusammenfassung

Data set for the paper: Predicting hospital occupancy for covid-19 patients: a simulation approach based on archetypes of empirical services’ trajectories Based on: Marin-Garcia, J. A., Ruiz, A., Julien, M., & Garcia-Sabater, J. P. (2021). A data generator for covid-19 patients’ care requirements inside hospitals. WPOM-Working Papers on Operations Management, 12(1), 76-115. https://doi.org/10.4995/wpom.15332