The effectiveness of government measures during the first wave of the outbreak

Autores
Ratto, Maria Celeste; Cabrera, Juan Manuel; Zacharias, Daniela Rosa; Azerrat, Juan Martín Inti
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objectives: The Covid-19 pandemic changed the humanity life. Millions of deaths and infections that spread rapidly around the world made all countries take measures to stop the outbreaks and assume the enormous consequences that the Coronavirus is leaving behind. The challenge has been enormous; governments across the world have implemented a wide span of nonpharmaceutical interventions to mitigate the Coronavirus pandemic (SARS-CoV-2) and its consequences in economic terms. The aim of this article is to analyze the effects that different kinds of measures taken by Latin American governments had on the daily new infections. The countries analyzed were Argentina, Bolivia, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Honduras, México, Panamá, Peru, Paraguay, Dominican Republic, Uruguay and Venezuela. Methods: A time series cross-section analysis was performed, which allows studying the evolution of the number of daily cases over time and by country. The timeframe of this study was from the day the first case of coronavirus was registered in a country, until September 14, 2020. We used data from Covid-19 Dashboard database of Johns Hopkins University and the Oxford Covid-19 Government Response Tracker data set. Results: The Stringency Index did not have a significant influence at the beginning of the pandemic but turned out to be significant and inversely related to DNI during Phases 2 and 3. On the contrary, the Economic and the Sanitary Containment Index was not statistically significant for any of the phases. Furthermore, the level of wealthfare of a country, measured from its GDP per capita, exerts a substantive conditional influence on the management of the Covid-19 crisis. Conclusions: The scenarios have been changing and strategies had to change as well in order to be successful because they lose effectiveness and have increased social costs with time. Therefore, understanding the relative effectiveness of such measures had on the disease spreading during the first wave of the outbreak, could help governments to make more informed decisions about how to control future outbreaks of the Covid-19 pandemic.
Fil: Ratto, Maria Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio. Universidad Nacional de Río Negro. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio; Argentina
Fil: Cabrera, Juan Manuel. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Zacharias, Daniela Rosa. Universidad Nacional del Comahue; Argentina
Fil: Azerrat, Juan Martín Inti. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio. Universidad Nacional de Río Negro. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio; Argentina
Materia
COMPARATIVE POLITICS
CORONAVIRUS
COVID-19
GOVERNMENT RESPONSES
LATIN AMERICA
NONPHARMACEUTICAL INTERVENTIONS
PUBLIC POLICIES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/153741
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/153741
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The effectiveness of government measures during the first wave of the outbreakRatto, Maria CelesteCabrera, Juan ManuelZacharias, Daniela RosaAzerrat, Juan Martín IntiCOMPARATIVE POLITICSCORONAVIRUSCOVID-19GOVERNMENT RESPONSESLATIN AMERICANONPHARMACEUTICAL INTERVENTIONSPUBLIC POLICIEShttps://purl.org/becyt/ford/5.6https://purl.org/becyt/ford/5Objectives: The Covid-19 pandemic changed the humanity life. Millions of deaths and infections that spread rapidly around the world made all countries take measures to stop the outbreaks and assume the enormous consequences that the Coronavirus is leaving behind. The challenge has been enormous; governments across the world have implemented a wide span of nonpharmaceutical interventions to mitigate the Coronavirus pandemic (SARS-CoV-2) and its consequences in economic terms. The aim of this article is to analyze the effects that different kinds of measures taken by Latin American governments had on the daily new infections. The countries analyzed were Argentina, Bolivia, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Honduras, México, Panamá, Peru, Paraguay, Dominican Republic, Uruguay and Venezuela. Methods: A time series cross-section analysis was performed, which allows studying the evolution of the number of daily cases over time and by country. The timeframe of this study was from the day the first case of coronavirus was registered in a country, until September 14, 2020. We used data from Covid-19 Dashboard database of Johns Hopkins University and the Oxford Covid-19 Government Response Tracker data set. Results: The Stringency Index did not have a significant influence at the beginning of the pandemic but turned out to be significant and inversely related to DNI during Phases 2 and 3. On the contrary, the Economic and the Sanitary Containment Index was not statistically significant for any of the phases. Furthermore, the level of wealthfare of a country, measured from its GDP per capita, exerts a substantive conditional influence on the management of the Covid-19 crisis. Conclusions: The scenarios have been changing and strategies had to change as well in order to be successful because they lose effectiveness and have increased social costs with time. Therefore, understanding the relative effectiveness of such measures had on the disease spreading during the first wave of the outbreak, could help governments to make more informed decisions about how to control future outbreaks of the Covid-19 pandemic.Fil: Ratto, Maria Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio. Universidad Nacional de Río Negro. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio; ArgentinaFil: Cabrera, Juan Manuel. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Zacharias, Daniela Rosa. Universidad Nacional del Comahue; ArgentinaFil: Azerrat, Juan Martín Inti. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio. Universidad Nacional de Río Negro. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio; ArgentinaJohn Wiley & Sons Inc.2021-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/153741Ratto, Maria Celeste; Cabrera, Juan Manuel; Zacharias, Daniela Rosa; Azerrat, Juan Martín Inti; The effectiveness of government measures during the first wave of the outbreak; John Wiley & Sons Inc.; Social Science Quarterly; 102; 5; 8-2021; 2088-21050038-49411540-6237CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/ssqu.13043info:eu-repo/semantics/altIdentifier/doi/10.1111/ssqu.13043info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-06-04T11:08:41Zoai:ri.conicet.gov.ar:11336/153741instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-06-04 11:08:42.154CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The effectiveness of government measures during the first wave of the outbreak
title The effectiveness of government measures during the first wave of the outbreak
spellingShingle The effectiveness of government measures during the first wave of the outbreak
Ratto, Maria Celeste
COMPARATIVE POLITICS
CORONAVIRUS
COVID-19
GOVERNMENT RESPONSES
LATIN AMERICA
NONPHARMACEUTICAL INTERVENTIONS
PUBLIC POLICIES
title_short The effectiveness of government measures during the first wave of the outbreak
title_full The effectiveness of government measures during the first wave of the outbreak
title_fullStr The effectiveness of government measures during the first wave of the outbreak
title_full_unstemmed The effectiveness of government measures during the first wave of the outbreak
title_sort The effectiveness of government measures during the first wave of the outbreak
dc.creator.none.fl_str_mv Ratto, Maria Celeste
Cabrera, Juan Manuel
Zacharias, Daniela Rosa
Azerrat, Juan Martín Inti
author Ratto, Maria Celeste
author_facet Ratto, Maria Celeste
Cabrera, Juan Manuel
Zacharias, Daniela Rosa
Azerrat, Juan Martín Inti
author_role author
author2 Cabrera, Juan Manuel
Zacharias, Daniela Rosa
Azerrat, Juan Martín Inti
author2_role author
author
author
dc.subject.none.fl_str_mv COMPARATIVE POLITICS
CORONAVIRUS
COVID-19
GOVERNMENT RESPONSES
LATIN AMERICA
NONPHARMACEUTICAL INTERVENTIONS
PUBLIC POLICIES
topic COMPARATIVE POLITICS
CORONAVIRUS
COVID-19
GOVERNMENT RESPONSES
LATIN AMERICA
NONPHARMACEUTICAL INTERVENTIONS
PUBLIC POLICIES
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.6
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Objectives: The Covid-19 pandemic changed the humanity life. Millions of deaths and infections that spread rapidly around the world made all countries take measures to stop the outbreaks and assume the enormous consequences that the Coronavirus is leaving behind. The challenge has been enormous; governments across the world have implemented a wide span of nonpharmaceutical interventions to mitigate the Coronavirus pandemic (SARS-CoV-2) and its consequences in economic terms. The aim of this article is to analyze the effects that different kinds of measures taken by Latin American governments had on the daily new infections. The countries analyzed were Argentina, Bolivia, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Honduras, México, Panamá, Peru, Paraguay, Dominican Republic, Uruguay and Venezuela. Methods: A time series cross-section analysis was performed, which allows studying the evolution of the number of daily cases over time and by country. The timeframe of this study was from the day the first case of coronavirus was registered in a country, until September 14, 2020. We used data from Covid-19 Dashboard database of Johns Hopkins University and the Oxford Covid-19 Government Response Tracker data set. Results: The Stringency Index did not have a significant influence at the beginning of the pandemic but turned out to be significant and inversely related to DNI during Phases 2 and 3. On the contrary, the Economic and the Sanitary Containment Index was not statistically significant for any of the phases. Furthermore, the level of wealthfare of a country, measured from its GDP per capita, exerts a substantive conditional influence on the management of the Covid-19 crisis. Conclusions: The scenarios have been changing and strategies had to change as well in order to be successful because they lose effectiveness and have increased social costs with time. Therefore, understanding the relative effectiveness of such measures had on the disease spreading during the first wave of the outbreak, could help governments to make more informed decisions about how to control future outbreaks of the Covid-19 pandemic.
Fil: Ratto, Maria Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio. Universidad Nacional de Río Negro. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio; Argentina
Fil: Cabrera, Juan Manuel. Universidad Nacional del Comahue; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Zacharias, Daniela Rosa. Universidad Nacional del Comahue; Argentina
Fil: Azerrat, Juan Martín Inti. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio. Universidad Nacional de Río Negro. Instituto de Investigaciones en Diversidad Cultural y Procesos de Cambio; Argentina
description Objectives: The Covid-19 pandemic changed the humanity life. Millions of deaths and infections that spread rapidly around the world made all countries take measures to stop the outbreaks and assume the enormous consequences that the Coronavirus is leaving behind. The challenge has been enormous; governments across the world have implemented a wide span of nonpharmaceutical interventions to mitigate the Coronavirus pandemic (SARS-CoV-2) and its consequences in economic terms. The aim of this article is to analyze the effects that different kinds of measures taken by Latin American governments had on the daily new infections. The countries analyzed were Argentina, Bolivia, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Honduras, México, Panamá, Peru, Paraguay, Dominican Republic, Uruguay and Venezuela. Methods: A time series cross-section analysis was performed, which allows studying the evolution of the number of daily cases over time and by country. The timeframe of this study was from the day the first case of coronavirus was registered in a country, until September 14, 2020. We used data from Covid-19 Dashboard database of Johns Hopkins University and the Oxford Covid-19 Government Response Tracker data set. Results: The Stringency Index did not have a significant influence at the beginning of the pandemic but turned out to be significant and inversely related to DNI during Phases 2 and 3. On the contrary, the Economic and the Sanitary Containment Index was not statistically significant for any of the phases. Furthermore, the level of wealthfare of a country, measured from its GDP per capita, exerts a substantive conditional influence on the management of the Covid-19 crisis. Conclusions: The scenarios have been changing and strategies had to change as well in order to be successful because they lose effectiveness and have increased social costs with time. Therefore, understanding the relative effectiveness of such measures had on the disease spreading during the first wave of the outbreak, could help governments to make more informed decisions about how to control future outbreaks of the Covid-19 pandemic.
publishDate 2021
dc.date.none.fl_str_mv 2021-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/153741
Ratto, Maria Celeste; Cabrera, Juan Manuel; Zacharias, Daniela Rosa; Azerrat, Juan Martín Inti; The effectiveness of government measures during the first wave of the outbreak; John Wiley & Sons Inc.; Social Science Quarterly; 102; 5; 8-2021; 2088-2105
0038-4941
1540-6237
CONICET Digital
CONICET
url http://hdl.handle.net/11336/153741
identifier_str_mv Ratto, Maria Celeste; Cabrera, Juan Manuel; Zacharias, Daniela Rosa; Azerrat, Juan Martín Inti; The effectiveness of government measures during the first wave of the outbreak; John Wiley & Sons Inc.; Social Science Quarterly; 102; 5; 8-2021; 2088-2105
0038-4941
1540-6237
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/ssqu.13043
info:eu-repo/semantics/altIdentifier/doi/10.1111/ssqu.13043
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Inc.
publisher.none.fl_str_mv John Wiley & Sons Inc.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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