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

# metadata.dc.description.abstract[].value
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.

# metadata.dc.publisher[].value
Universitat de Barcelona. Facultat d'Economia i Empresa

# metadata.dc.source[].value
Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

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