Risk of hospitalization of diagnosed COVID-19 cases during the pandemic: a time-series analsys to unveil short- and long run dynamics [WP]

Alcañiz, ManuelaEstévez, MarcSantolino, Miguel2023-11-062023-11-062023https://hdl.handle.net/2445/203525Objectives: 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.25 p.application/pdfengcc-by-nc-nd, (c) Alcañiz et al., 2023http://creativecommons.org/licenses/by-nc-nd/3.0/es/COVID-19VacunacióAssistència hospitalàriaAvaluació del risc per la salutCOVID-19VaccinationHospital careHealth risk assessmentRisk of hospitalization of diagnosed COVID-19 cases during the pandemic: a time-series analsys to unveil short- and long run dynamics [WP]info:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/openAccess