García de Vicuña Bilbao, DanielCildoz Esquíroz, MartaGastón Romeo, MartínAzcárate Camio, CristinaMallor Giménez, FermínEsparza, Laida2022-03-162022-03-1620201889-3805https://academica-e.unavarra.es/handle/2454/42535This article presents the usefulness of operational research models tosupport 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-acutephases 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.25 p.application/pdfspa© 2020 SEIO. Con permiso del editor.Bed occupancyGompertz growth modelHospital resources planningSimulation in healthcareinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess