Daniel Garcia Vicuña, Marta Cildoz Esquíroz, Martín Gastón Romeo , Cristina Azcárate Camio , Fermín Mallor Giménez , Laida Esparza
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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