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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.
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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 and 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. [consulted: 23 of May of 2026]. Available at: https://hdl.handle.net/2445/203525