Dataset.
2020
Data set for a predictive model for Spain on the economic impact of the COVID-19 crisis
CORA.Repositori de Dades de Recerca
doi:10.34810/data111
CORA.Repositori de Dades de Recerca
- 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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1 Versiones
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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
CORA.Repositori de Dades de Recerca
- 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.
No hay resultados en la búsqueda