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dc.contributor.author | Reyes-Santias, Francisco | es_ES |
dc.contributor.author | Barrachina Martínez, Isabel | es_ES |
dc.contributor.author | Vivas-Consuelo, David | es_ES |
dc.date.accessioned | 2022-09-14T18:04:57Z | |
dc.date.available | 2022-09-14T18:04:57Z | |
dc.date.issued | 2021-05-31 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/186050 | |
dc.description.abstract | [EN] Application of the Flusurge 2.0 methodology to predict the needs of conventional hospital treatment, intensive care, and respiratory support resources as a consequence of coronavirus disease (COVID-19) in several countries. Different countries of the following continents have been selected: Europe, Asia, Africa, North America, South America, and Oceania. Variables: Total population and age distribution; Number of COVID19 infections; Number of deaths from COVID19; Number of non-ICU hospital beds; Number of ICU beds; Number of ventilators. Method: The proposed possible scenario planning is based on the application of FluSurge 2.0 Software, developed by The Johns Hopkins Center for Health Security (CHS/CDC). Saturation of conventional hospitalization is expected in India, Uganda, Nepal, and Haiti; there is a forecast of saturation for ICU beds in all sample countries except Turkey. Ventilator saturation is expected in all countries of the sample except Argentina, Austria, Brazil, France, United Kingdom, Japan, South Korea, Norway, Poland, Turkey and the USA. The model shows, for a percentage greater than 50% of the countries, difficulties related to the saturation of their ICU units, and the use of ventilators. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | SAGE Publications | es_ES |
dc.relation.ispartof | International Journal of Engineering Business Management | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | COVID-19 | es_ES |
dc.subject | ICU beds | es_ES |
dc.subject | Hospital beds | es_ES |
dc.subject | Ventilators | es_ES |
dc.subject | Saturation | es_ES |
dc.subject.classification | ECONOMIA FINANCIERA Y CONTABILIDAD | es_ES |
dc.subject.classification | ECONOMIA APLICADA | es_ES |
dc.title | Predictions of FluSurge 2.0 methodology on hospital utilization during the Covid-19 outbreaks in several countries | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1177/18479790211020530 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials | es_ES |
dc.description.bibliographicCitation | Reyes-Santias, F.; Barrachina Martínez, I.; Vivas-Consuelo, D. (2021). Predictions of FluSurge 2.0 methodology on hospital utilization during the Covid-19 outbreaks in several countries. International Journal of Engineering Business Management. 13:1-9. https://doi.org/10.1177/18479790211020530 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1177/18479790211020530 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 9 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 13 | es_ES |
dc.identifier.eissn | 1847-9790 | es_ES |
dc.relation.pasarela | S\453368 | es_ES |
upv.costeAPC | 834,71 | es_ES |