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cc-by-nc-nd, (c) Alcañiz et al., 2023
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/203525

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

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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.

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ALCAÑIZ, Manuela, ESTÉVEZ, Marc, SANTOLINO, Miguel. Risk of hospitalization of diagnosed COVID-19 cases during the pandemic: a time-series analsys to unveil short- and long run dynamics [WP]. _IREA – Working Papers_. 2023. Vol.  IR23/13. [consulta: 15 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/203525]

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