Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide
This study aims to identify the economic and demographic determinants that affect the fatality rate from COVID-19 in the periods of 90, 120 and 150 days after the first appearance of the virus in the territory. The analysis is presented in two stages, in the first, a Cluster analysis is used with th...
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2021
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| _version_ | 1858113931300569088 |
|---|---|
| author | Illescas, Eymy |
| author2 | Guevara, Carolina |
| author2_role | author |
| author_facet | Illescas, Eymy Guevara, Carolina |
| author_role | author |
| collection | Revista Cuestiones Económicas |
| dc.creator.none.fl_str_mv | Illescas, Eymy Guevara, Carolina |
| dc.date.none.fl_str_mv | 2021-11-23 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/368 10.47550/RCE/MEM/31.51 |
| dc.language.none.fl_str_mv | spa |
| dc.publisher.none.fl_str_mv | Banco Central del Ecuador |
| dc.relation.none.fl_str_mv | https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/368/269 |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | Cuestiones Económicas; Vol. 31 Núm. 3 (2021): Edición Especial: Memorias IV Encuentro Internacional de Economía EPN; Autores: Eymy Illescas y Carolina Guevara 2697-3367 2697-3367 reponame:Revista Cuestiones Económicas instname:Banco Central del Ecuador instacron:BCE |
| dc.subject.none.fl_str_mv | Pandemia tasa de letalidad por COVID-19 Sistema de salud Factores económicos a nivel país |
| dc.title.none.fl_str_mv | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide Factores demográficos y económicos que afectan a la tasa de letalidad producida por el virus SARS-COV-2 a nivel mundial |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículos de Investigación |
| description | This study aims to identify the economic and demographic determinants that affect the fatality rate from COVID-19 in the periods of 90, 120 and 150 days after the first appearance of the virus in the territory. The analysis is presented in two stages, in the first, a Cluster analysis is used with the K-means methodology in which 210 countries from all continents are used and they are classified into four groups: i. Countries infected very quickly with a relatively high growth rate of contagion and low lethality, ii. Countries infected rapidly with a very high growth rate of contagion and lethality, iii. Countries infected slowly with a relatively high growth rate of contagion and a relatively low lethality and iv. Countries infected very slowly with a growth rate of contagion and low fatality In the second stage, the groups established in the first stage are used and OLS or Tobit models are estimated, depending on the presence or not of a Limited Dependent Variable in the fatality rate by COVID-19. The independent variables are the contagion growth rate, the severity index and the underlying conditions of the countries directly related to COVID-19 such as access to drinking water, hospital beds per 10,000 inhabitants, government efficacy index, population over 65 years and economic growth rate. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | REVCUESTEC_06735dfc9f74b199ad51d08c541d2d2c |
| identifier_str_mv | 10.47550/RCE/MEM/31.51 |
| instacron_str | BCE |
| institution | BCE |
| instname_str | Banco Central del Ecuador |
| language | spa |
| network_acronym_str | REVCUESTEC |
| network_name_str | Revista Cuestiones Económicas |
| oai_identifier_str | oai:estudioseconomicos.bce.fin.ec:article/368 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Banco Central del Ecuador |
| reponame_str | Revista Cuestiones Económicas |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | Revista Cuestiones Económicas - Banco Central del Ecuador |
| repository_id_str | |
| spelling | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwideFactores demográficos y económicos que afectan a la tasa de letalidad producida por el virus SARS-COV-2 a nivel mundialIllescas, Eymy Guevara, Carolina Pandemiatasa de letalidad por COVID-19Sistema de saludFactores económicos a nivel paísThis study aims to identify the economic and demographic determinants that affect the fatality rate from COVID-19 in the periods of 90, 120 and 150 days after the first appearance of the virus in the territory. The analysis is presented in two stages, in the first, a Cluster analysis is used with the K-means methodology in which 210 countries from all continents are used and they are classified into four groups: i. Countries infected very quickly with a relatively high growth rate of contagion and low lethality, ii. Countries infected rapidly with a very high growth rate of contagion and lethality, iii. Countries infected slowly with a relatively high growth rate of contagion and a relatively low lethality and iv. Countries infected very slowly with a growth rate of contagion and low fatality In the second stage, the groups established in the first stage are used and OLS or Tobit models are estimated, depending on the presence or not of a Limited Dependent Variable in the fatality rate by COVID-19. The independent variables are the contagion growth rate, the severity index and the underlying conditions of the countries directly related to COVID-19 such as access to drinking water, hospital beds per 10,000 inhabitants, government efficacy index, population over 65 years and economic growth rate.Este estudio tiene como objetivo identificar los determinantes económicos y demográficos que afecta a la tasa de letalidad por COVID-19 en los períodos de 90, 120 y 150 días después de la primera aparición del virus en el territorio. El análisis se presenta en dos etapas, en la primera, se utiliza un análisis Cluster con la metodología K-medias en el que se utilizan 210 países de todos los continentes y se clasifican en cuatro grupos: i. Países infectados muy rápidamente con una tasa de crecimiento de contagio relativamente alta y baja letalidad, ii. Países infectados rápidamente con tasa de crecimiento de contagio y letalidad muy alta, iii. Países infectados lentamente con tasa de crecimiento del contagio relativamente alta y una letalidad relativamente baja y iv. Países infectados muy lentamente con tasa de crecimiento de contagio y letalidad baja. En la segunda etapa se utilizan los grupos establecidos en la primera fase y se estiman modelos OLS o Tobit, dependiendo de la presencia o no de Variable Dependiente Limitada en la tasa de letalidad por COVID-19. Las variables independientes son la tasa de crecimiento del contagio, el índice de rigurosidad y las condiciones subyacentes de los países directamente relacionados con COVID-19 como el acceso a agua potable, camas de hospital por 10000 habitantes, índice de eficacia gubernamental, población mayor de 65 años y tasa de crecimiento económico.Banco Central del Ecuador2021-11-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículos de Investigaciónapplication/pdfhttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/36810.47550/RCE/MEM/31.51Cuestiones Económicas; Vol. 31 Núm. 3 (2021): Edición Especial: Memorias IV Encuentro Internacional de Economía EPN; Autores: Eymy Illescas y Carolina Guevara2697-33672697-3367reponame:Revista Cuestiones Económicasinstname:Banco Central del Ecuadorinstacron:BCEspahttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/368/269info:eu-repo/semantics/openAccess2021-11-26T18:08:02Zoai:estudioseconomicos.bce.fin.ec:article/368Portal de revistashttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCEOrganismo de gobiernowww.bce.fin.echttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/oaiEcuadoropendoar:2021-11-26T18:08:02falsePortal de revistashttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCEOrganismo de gobiernowww.bce.fin.echttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/oaiEcuadoropendoar:2021-11-26T18:08:02Revista Cuestiones Económicas - Banco Central del Ecuadorfalse |
| spellingShingle | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide Illescas, Eymy Pandemia tasa de letalidad por COVID-19 Sistema de salud Factores económicos a nivel país |
| status_str | publishedVersion |
| title | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide |
| title_full | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide |
| title_fullStr | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide |
| title_full_unstemmed | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide |
| title_short | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide |
| title_sort | Demographic and economic factors that affect the fatality rate produced by the SARS-COV-2 virus worldwide |
| topic | Pandemia tasa de letalidad por COVID-19 Sistema de salud Factores económicos a nivel país |
| url | https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/368 |