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