Operations research helps public health services managers planning resources in the COVID-19 crisis
| dc.contributor.author | García de Vicuña Bilbao, Daniel | |
| dc.contributor.author | Cildoz Esquíroz, Marta | |
| dc.contributor.author | Gastón Romeo, Martín | |
| dc.contributor.author | Azcárate Camio, Cristina | |
| dc.contributor.author | Mallor Giménez, Fermín | |
| dc.contributor.author | Esparza, Laida | |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.date.accessioned | 2022-03-16T13:18:00Z | |
| dc.date.available | 2022-03-16T13:18:00Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | This 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. | en |
| dc.description.sponsorship | Esta investigación ha sido financiada por el proyecto MTM2016-77015-R (AEI, FEDER). | es_ES |
| dc.format.extent | 25 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.issn | 1889-3805 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/42535 | |
| dc.language.iso | spa | en |
| dc.publisher | Sociedad de Estadística e Investigación Operativa | es_ES |
| dc.relation.ispartof | Boletín de Estadística e Investigación Operativa, 36 (2), 127-151 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/MTM2016-77015-R/ | |
| dc.rights | © 2020 SEIO. Con permiso del editor. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Bed occupancy | en |
| dc.subject | Gompertz growth model | en |
| dc.subject | Hospital resources planning | en |
| dc.subject | Simulation in healthcare | en |
| dc.title | Operations research helps public health services managers planning resources in the COVID-19 crisis | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 4f90710e-28b4-4d41-af38-f0608ac834ab | |
| relation.isAuthorOfPublication | 9c4ef61f-f995-447e-a272-43ad403d0970 | |
| relation.isAuthorOfPublication | b2606814-3765-4898-8ade-90d6a6112fa9 | |
| relation.isAuthorOfPublication | 8681232b-4bb9-4157-9ac5-09ebdbbe4755 | |
| relation.isAuthorOfPublication | 7c01f74d-0369-4f57-b8c2-c6c579b76b38 | |
| relation.isAuthorOfPublication.latestForDiscovery | 4f90710e-28b4-4d41-af38-f0608ac834ab |