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CORA.Repositori de Dades de Recerca
doi:10.34810/data111
Dataset. 2020
DATA SET FOR A PREDICTIVE MODEL FOR SPAIN ON THE ECONOMIC IMPACT OF THE COVID-19 CRISIS
- Candel, Francisco Javier
- Viayna, Elisabet
- Callejo, Daniel
- Ramos Lobo, Raúl
- San Román Montero, Jesús
- Barreiro, Pablo
- Carretero, María del Mar
- Kolipiński, Adam
- Canora, Jesús
- Zapatero, Antonio
- Runken, M. Chris
The global COVID-19 spread has forced countries to implement non-pharmacological interventions (NPI) to preserve health systems. Spain is one of the most severely impacted countries, both clinically and economically. In an effort to support policy decision-making, Candel et al.(2021) [https://dx.doi.org/10.2139/ssrn.3745801] have developed a modified Susceptible-Exposed-Infectious-Removed (SEIR) epidemiological model to simulate the pandemic evolution. Its output was used to populate an economic model to quantify healthcare costs and GDP variation, through a regression model which correlates NPI and GDP change from 42 countries. The dataset contains information on the main variables used in order to specify and estimate this predictive model.
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