Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown

Autores
Bolaño Ortiz, Tomas Rafael; Pascual Flores, Romina María; Puliafito, Salvador Enrique; Camargo Caicedo, Yiniva; Berná Peña, Lucas Luciano; Ruggeri, María Florencia; Lopez Noreña, Ana Isabel; Tames, María Florencia; Cereceda Balic, Francisco
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work studied the spread of COVID-19, the meteorological conditions and the air quality in a megacity from two viewpoints: (1) the correlation between meteorological and air quality (PM10 and NO2) variables with infections and deaths due COVID-19, and (2) the improvement in air quality. Both analyses were performed for the pandemic lockdown due to COVID-19 in the City of Buenos Aires (CABA), the capital and the largest city in Argentina. Daily data from temperature, rainfall, average relative humidity, wind speed, PM10, NO2, new cases and deaths due COVID-19 were analyzed. Our findings showed a significant correlation of meteorological and air quality variables with COVID-19 cases. The highest temperature correlation occurred before the confirmation day of new cases. PM10 presented the highest correlation within 13 to 15 days lag, while NO2 within 3 to 6 days lag. Also, reductions in PM10 and NO2 were observed. This study shows that exposure to air pollution was significantly correlated with an increased risk of becoming infected and dying due to COVID-19. Thus, these results show that the NO2 and PM10 levels in CABA can serve as one of the indicators to assess vulnerability to COVID-19. In addition, decision-makers can use this information to adopt strategies to restrict human mobility during the COVID-19 pandemic and future outbreaks of similar diseases in CABA.
Fil: Bolaño Ortiz, Tomas Rafael. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pascual Flores, Romina María. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Camargo Caicedo, Yiniva. Universidad del Magdalena; Colombia
Fil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; Argentina
Fil: Ruggeri, María Florencia. Universidad Tecnica Federico Santa Maria; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tames, María Florencia. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cereceda Balic, Francisco. Universidad Tecnica Federico Santa Maria; Chile
Materia
SARS-COV-2
COVID-19
AIR QUALITY
BUENOS AIRES
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:11336/115801

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network_name_str CONICET Digital (CONICET)
spelling Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic LockdownBolaño Ortiz, Tomas RafaelPascual Flores, Romina MaríaPuliafito, Salvador EnriqueCamargo Caicedo, YinivaBerná Peña, Lucas LucianoRuggeri, María FlorenciaLopez Noreña, Ana IsabelTames, María FlorenciaCereceda Balic, FranciscoSARS-COV-2COVID-19AIR QUALITYBUENOS AIREShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This work studied the spread of COVID-19, the meteorological conditions and the air quality in a megacity from two viewpoints: (1) the correlation between meteorological and air quality (PM10 and NO2) variables with infections and deaths due COVID-19, and (2) the improvement in air quality. Both analyses were performed for the pandemic lockdown due to COVID-19 in the City of Buenos Aires (CABA), the capital and the largest city in Argentina. Daily data from temperature, rainfall, average relative humidity, wind speed, PM10, NO2, new cases and deaths due COVID-19 were analyzed. Our findings showed a significant correlation of meteorological and air quality variables with COVID-19 cases. The highest temperature correlation occurred before the confirmation day of new cases. PM10 presented the highest correlation within 13 to 15 days lag, while NO2 within 3 to 6 days lag. Also, reductions in PM10 and NO2 were observed. This study shows that exposure to air pollution was significantly correlated with an increased risk of becoming infected and dying due to COVID-19. Thus, these results show that the NO2 and PM10 levels in CABA can serve as one of the indicators to assess vulnerability to COVID-19. In addition, decision-makers can use this information to adopt strategies to restrict human mobility during the COVID-19 pandemic and future outbreaks of similar diseases in CABA.Fil: Bolaño Ortiz, Tomas Rafael. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pascual Flores, Romina María. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Camargo Caicedo, Yiniva. Universidad del Magdalena; ColombiaFil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; ArgentinaFil: Ruggeri, María Florencia. Universidad Tecnica Federico Santa Maria; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tames, María Florencia. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cereceda Balic, Francisco. Universidad Tecnica Federico Santa Maria; ChileMultidisciplinary Digital Publishing Institute2020-09info: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/11336/115801Bolaño Ortiz, Tomas Rafael; Pascual Flores, Romina María; Puliafito, Salvador Enrique; Camargo Caicedo, Yiniva; Berná Peña, Lucas Luciano; et al.; Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown; Multidisciplinary Digital Publishing Institute; Atmosphere; 11; 10; 9-2020; 1-232073-4433CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4433/11/10/1045info:eu-repo/semantics/altIdentifier/doi/10.3390/atmos11101045info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:02:44Zoai:ri.conicet.gov.ar:11336/115801instacron: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:34982025-10-22 12:02:45.164CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
title Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
spellingShingle Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
Bolaño Ortiz, Tomas Rafael
SARS-COV-2
COVID-19
AIR QUALITY
BUENOS AIRES
title_short Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
title_full Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
title_fullStr Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
title_full_unstemmed Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
title_sort Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown
dc.creator.none.fl_str_mv Bolaño Ortiz, Tomas Rafael
Pascual Flores, Romina María
Puliafito, Salvador Enrique
Camargo Caicedo, Yiniva
Berná Peña, Lucas Luciano
Ruggeri, María Florencia
Lopez Noreña, Ana Isabel
Tames, María Florencia
Cereceda Balic, Francisco
author Bolaño Ortiz, Tomas Rafael
author_facet Bolaño Ortiz, Tomas Rafael
Pascual Flores, Romina María
Puliafito, Salvador Enrique
Camargo Caicedo, Yiniva
Berná Peña, Lucas Luciano
Ruggeri, María Florencia
Lopez Noreña, Ana Isabel
Tames, María Florencia
Cereceda Balic, Francisco
author_role author
author2 Pascual Flores, Romina María
Puliafito, Salvador Enrique
Camargo Caicedo, Yiniva
Berná Peña, Lucas Luciano
Ruggeri, María Florencia
Lopez Noreña, Ana Isabel
Tames, María Florencia
Cereceda Balic, Francisco
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv SARS-COV-2
COVID-19
AIR QUALITY
BUENOS AIRES
topic SARS-COV-2
COVID-19
AIR QUALITY
BUENOS AIRES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This work studied the spread of COVID-19, the meteorological conditions and the air quality in a megacity from two viewpoints: (1) the correlation between meteorological and air quality (PM10 and NO2) variables with infections and deaths due COVID-19, and (2) the improvement in air quality. Both analyses were performed for the pandemic lockdown due to COVID-19 in the City of Buenos Aires (CABA), the capital and the largest city in Argentina. Daily data from temperature, rainfall, average relative humidity, wind speed, PM10, NO2, new cases and deaths due COVID-19 were analyzed. Our findings showed a significant correlation of meteorological and air quality variables with COVID-19 cases. The highest temperature correlation occurred before the confirmation day of new cases. PM10 presented the highest correlation within 13 to 15 days lag, while NO2 within 3 to 6 days lag. Also, reductions in PM10 and NO2 were observed. This study shows that exposure to air pollution was significantly correlated with an increased risk of becoming infected and dying due to COVID-19. Thus, these results show that the NO2 and PM10 levels in CABA can serve as one of the indicators to assess vulnerability to COVID-19. In addition, decision-makers can use this information to adopt strategies to restrict human mobility during the COVID-19 pandemic and future outbreaks of similar diseases in CABA.
Fil: Bolaño Ortiz, Tomas Rafael. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pascual Flores, Romina María. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Camargo Caicedo, Yiniva. Universidad del Magdalena; Colombia
Fil: Berná Peña, Lucas Luciano. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica; Argentina
Fil: Ruggeri, María Florencia. Universidad Tecnica Federico Santa Maria; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lopez Noreña, Ana Isabel. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tames, María Florencia. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cereceda Balic, Francisco. Universidad Tecnica Federico Santa Maria; Chile
description This work studied the spread of COVID-19, the meteorological conditions and the air quality in a megacity from two viewpoints: (1) the correlation between meteorological and air quality (PM10 and NO2) variables with infections and deaths due COVID-19, and (2) the improvement in air quality. Both analyses were performed for the pandemic lockdown due to COVID-19 in the City of Buenos Aires (CABA), the capital and the largest city in Argentina. Daily data from temperature, rainfall, average relative humidity, wind speed, PM10, NO2, new cases and deaths due COVID-19 were analyzed. Our findings showed a significant correlation of meteorological and air quality variables with COVID-19 cases. The highest temperature correlation occurred before the confirmation day of new cases. PM10 presented the highest correlation within 13 to 15 days lag, while NO2 within 3 to 6 days lag. Also, reductions in PM10 and NO2 were observed. This study shows that exposure to air pollution was significantly correlated with an increased risk of becoming infected and dying due to COVID-19. Thus, these results show that the NO2 and PM10 levels in CABA can serve as one of the indicators to assess vulnerability to COVID-19. In addition, decision-makers can use this information to adopt strategies to restrict human mobility during the COVID-19 pandemic and future outbreaks of similar diseases in CABA.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
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/11336/115801
Bolaño Ortiz, Tomas Rafael; Pascual Flores, Romina María; Puliafito, Salvador Enrique; Camargo Caicedo, Yiniva; Berná Peña, Lucas Luciano; et al.; Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown; Multidisciplinary Digital Publishing Institute; Atmosphere; 11; 10; 9-2020; 1-23
2073-4433
CONICET Digital
CONICET
url http://hdl.handle.net/11336/115801
identifier_str_mv Bolaño Ortiz, Tomas Rafael; Pascual Flores, Romina María; Puliafito, Salvador Enrique; Camargo Caicedo, Yiniva; Berná Peña, Lucas Luciano; et al.; Spread of COVID-19, Meteorological Conditions and Air Quality in the City of Buenos Aires, Argentina: Two Facets Observed during Its Pandemic Lockdown; Multidisciplinary Digital Publishing Institute; Atmosphere; 11; 10; 9-2020; 1-23
2073-4433
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://www.mdpi.com/2073-4433/11/10/1045
info:eu-repo/semantics/altIdentifier/doi/10.3390/atmos11101045
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 Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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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