dc.contributor.author
Alcañiz, Manuela
dc.contributor.author
Estévez, Marc
dc.contributor.author
Santolino, Miguel
dc.date.issued
2023-11-06T11:29:14Z
dc.date.issued
2023-11-06T11:29:14Z
dc.identifier
https://hdl.handle.net/2445/203525
dc.description.abstract
Objectives:
With the outbreak of the SARS-CoV-2 pandemic, the unprecedented rise in demand for hospital care brought health Systems worldwide to the brink of collapse. The dynamics of the COVID-19 pandemic
have alternated periods of high incidence with others of low incidence, making it difficult to separate short- and long-run relationship between the number of COVID-19 cases diagnosed and the demand for hospital beds. The aim of this study is to model the risk of hospitalization of diagnosed cases during the pandemic.
.../...
Conclusions:
Models discriminating between the short- and long-run dynamics provide health planners with a valuable demand forecasting tool which should be useful for developing both structural programs and emergency interventions.
dc.format
application/pdf
dc.publisher
Universitat de Barcelona. Facultat d'Economia i Empresa
dc.relation
Reproducció del document publicat a: https://www.ub.edu/irea/working_papers/2023/202313.pdf
dc.relation
IREA – Working Papers, 2023, IR23/13
dc.relation
[WP E-IR23/13]
dc.rights
cc-by-nc-nd, (c) Alcañiz et al., 2023
dc.rights
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))
dc.subject
Assistència hospitalària
dc.subject
Avaluació del risc per la salut
dc.subject
Health risk assessment
dc.title
Risk of hospitalization of diagnosed COVID-19 cases during the pandemic: a time-series analsys to unveil short- and long run dynamics [WP]
dc.type
info:eu-repo/semantics/workingPaper
