Operations research helps public health services managers planning resources in the COVID-19 crisis

• García-Vicuña, D. ^[1] ; Cildoz, M. ^[1] ; Gastón-Romeo, M. ^[1] ; Azcarate, C. ^[1] ; Mallor, F. ^[1] ; Esparza, L. ^[2]
  1. [1] Universidad Pública de Navarra

     Universidad Pública de Navarra

     Pamplona, España

     
  2. [2] Gobierno de Navarra

     Gobierno de Navarra

     Pamplona, España

     
• Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 36, Nº. 2, 2020, págs. 127-151
• Idioma: inglés
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• Resumen

  • This article presents the usefulness of operational research models to support the decision-making in management problems on the COVID-19 pandemic. The work describes a discrete event simulation model combined with population growth models, which has been used to provide daily predictions of the needs of ward and intensive care unit beds during the COVID-19 outbreak in the Autonomous Community of Navarre, in Spain. This work also discusses the use of the simulation model in non-acute phases of the pandemic to support decision-making during the return to the normal operation of health services or as a resource management learning tool for health logistic planners. © 2020 SEIO

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