SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina

Autores
Iglesias, Nestor Gabriel; Gebhard, Leopoldo German; Carballeda, Juan Manuel; Aiello, Ignacio; Recalde, Emiliano; Terny, Gabriel; Ambrosolio, Silvina; L'Arco, Gabriela; Konfino, Jonatan; Brardinelli, Juan Ignacio
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objective. To measure SARS-CoV-2 RNA in sewage in a low-resource community in order to determine if it can be considered as an estimator of changes in the prevalence of COVID-19 in the population. Methods. In this descriptive observational study we collected samples of surface waters contaminated with sewage and optimized a method of purification of viral RNA using PEG concentration. We determined the amount of genetic material by quantitative real-time PCR using the CDC method for SARS-CoV-2 detection. Results. We quantified viral RNA in surface waters contaminated with sewage of a low resource community and determined that temporal trends of SARS-CoV-2 in wastewater samples mirrored trends in COVID-19 active cases. Conclusions. Measuring of SARS-CoV-2 RNA in sewage can be applied in low-resource communities without connection to sewers as an estimator of changes in the prevalence of COVID-19.
Fil: Iglesias, Nestor Gabriel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gebhard, Leopoldo German. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carballeda, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Aiello, Ignacio. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Recalde, Emiliano. Organismo Provincial de Integración Social y Urbana; Argentina
Fil: Terny, Gabriel. Organismo Provincial de Integración Social y Urbana; Argentina
Fil: Ambrosolio, Silvina. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina
Fil: L'Arco, Gabriela. Municipalidad de Quilmes; Argentina
Fil: Konfino, Jonatan. Municipalidad de Quilmes; Argentina
Fil: Brardinelli, Juan Ignacio. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina
Materia
SARS-COV-2
ENVIRONMENTAL MONITORING
WASTEWATER
COVID-19
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/152098
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/152098
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, ArgentinaIglesias, Nestor GabrielGebhard, Leopoldo GermanCarballeda, Juan ManuelAiello, IgnacioRecalde, EmilianoTerny, GabrielAmbrosolio, SilvinaL'Arco, GabrielaKonfino, JonatanBrardinelli, Juan IgnacioSARS-COV-2ENVIRONMENTAL MONITORINGWASTEWATERCOVID-19https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Objective. To measure SARS-CoV-2 RNA in sewage in a low-resource community in order to determine if it can be considered as an estimator of changes in the prevalence of COVID-19 in the population. Methods. In this descriptive observational study we collected samples of surface waters contaminated with sewage and optimized a method of purification of viral RNA using PEG concentration. We determined the amount of genetic material by quantitative real-time PCR using the CDC method for SARS-CoV-2 detection. Results. We quantified viral RNA in surface waters contaminated with sewage of a low resource community and determined that temporal trends of SARS-CoV-2 in wastewater samples mirrored trends in COVID-19 active cases. Conclusions. Measuring of SARS-CoV-2 RNA in sewage can be applied in low-resource communities without connection to sewers as an estimator of changes in the prevalence of COVID-19.Fil: Iglesias, Nestor Gabriel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gebhard, Leopoldo German. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Carballeda, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Aiello, Ignacio. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Recalde, Emiliano. Organismo Provincial de Integración Social y Urbana; ArgentinaFil: Terny, Gabriel. Organismo Provincial de Integración Social y Urbana; ArgentinaFil: Ambrosolio, Silvina. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; ArgentinaFil: L'Arco, Gabriela. Municipalidad de Quilmes; ArgentinaFil: Konfino, Jonatan. Municipalidad de Quilmes; ArgentinaFil: Brardinelli, Juan Ignacio. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; ArgentinaOrganización Panamericana de la Salud2021-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152098Iglesias, Nestor Gabriel; Gebhard, Leopoldo German; Carballeda, Juan Manuel; Aiello, Ignacio; Recalde, Emiliano; et al.; SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina; Organización Panamericana de la Salud; Revista Panamericana de Salud Pública; 45; 10-2021; 1-61020-4989CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iris.paho.org/handle/10665.2/54988info:eu-repo/semantics/altIdentifier/doi/10.26633/RPSP.2021.137info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:54Zoai:ri.conicet.gov.ar:11336/152098instacron: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:34982025-09-03 09:46:54.439CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
title SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
spellingShingle SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
Iglesias, Nestor Gabriel
SARS-COV-2
ENVIRONMENTAL MONITORING
WASTEWATER
COVID-19
title_short SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
title_full SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
title_fullStr SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
title_full_unstemmed SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
title_sort SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
dc.creator.none.fl_str_mv Iglesias, Nestor Gabriel
Gebhard, Leopoldo German
Carballeda, Juan Manuel
Aiello, Ignacio
Recalde, Emiliano
Terny, Gabriel
Ambrosolio, Silvina
L'Arco, Gabriela
Konfino, Jonatan
Brardinelli, Juan Ignacio
author Iglesias, Nestor Gabriel
author_facet Iglesias, Nestor Gabriel
Gebhard, Leopoldo German
Carballeda, Juan Manuel
Aiello, Ignacio
Recalde, Emiliano
Terny, Gabriel
Ambrosolio, Silvina
L'Arco, Gabriela
Konfino, Jonatan
Brardinelli, Juan Ignacio
author_role author
author2 Gebhard, Leopoldo German
Carballeda, Juan Manuel
Aiello, Ignacio
Recalde, Emiliano
Terny, Gabriel
Ambrosolio, Silvina
L'Arco, Gabriela
Konfino, Jonatan
Brardinelli, Juan Ignacio
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv SARS-COV-2
ENVIRONMENTAL MONITORING
WASTEWATER
COVID-19
topic SARS-COV-2
ENVIRONMENTAL MONITORING
WASTEWATER
COVID-19
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Objective. To measure SARS-CoV-2 RNA in sewage in a low-resource community in order to determine if it can be considered as an estimator of changes in the prevalence of COVID-19 in the population. Methods. In this descriptive observational study we collected samples of surface waters contaminated with sewage and optimized a method of purification of viral RNA using PEG concentration. We determined the amount of genetic material by quantitative real-time PCR using the CDC method for SARS-CoV-2 detection. Results. We quantified viral RNA in surface waters contaminated with sewage of a low resource community and determined that temporal trends of SARS-CoV-2 in wastewater samples mirrored trends in COVID-19 active cases. Conclusions. Measuring of SARS-CoV-2 RNA in sewage can be applied in low-resource communities without connection to sewers as an estimator of changes in the prevalence of COVID-19.
Fil: Iglesias, Nestor Gabriel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gebhard, Leopoldo German. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carballeda, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Aiello, Ignacio. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Recalde, Emiliano. Organismo Provincial de Integración Social y Urbana; Argentina
Fil: Terny, Gabriel. Organismo Provincial de Integración Social y Urbana; Argentina
Fil: Ambrosolio, Silvina. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina
Fil: L'Arco, Gabriela. Municipalidad de Quilmes; Argentina
Fil: Konfino, Jonatan. Municipalidad de Quilmes; Argentina
Fil: Brardinelli, Juan Ignacio. Gobierno de la Provincia de Buenos Aires. Organismo Provincial Para El Desarrollo Sostenible; Argentina
description Objective. To measure SARS-CoV-2 RNA in sewage in a low-resource community in order to determine if it can be considered as an estimator of changes in the prevalence of COVID-19 in the population. Methods. In this descriptive observational study we collected samples of surface waters contaminated with sewage and optimized a method of purification of viral RNA using PEG concentration. We determined the amount of genetic material by quantitative real-time PCR using the CDC method for SARS-CoV-2 detection. Results. We quantified viral RNA in surface waters contaminated with sewage of a low resource community and determined that temporal trends of SARS-CoV-2 in wastewater samples mirrored trends in COVID-19 active cases. Conclusions. Measuring of SARS-CoV-2 RNA in sewage can be applied in low-resource communities without connection to sewers as an estimator of changes in the prevalence of COVID-19.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
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/11336/152098
Iglesias, Nestor Gabriel; Gebhard, Leopoldo German; Carballeda, Juan Manuel; Aiello, Ignacio; Recalde, Emiliano; et al.; SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina; Organización Panamericana de la Salud; Revista Panamericana de Salud Pública; 45; 10-2021; 1-6
1020-4989
CONICET Digital
CONICET
url http://hdl.handle.net/11336/152098
identifier_str_mv Iglesias, Nestor Gabriel; Gebhard, Leopoldo German; Carballeda, Juan Manuel; Aiello, Ignacio; Recalde, Emiliano; et al.; SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina; Organización Panamericana de la Salud; Revista Panamericana de Salud Pública; 45; 10-2021; 1-6
1020-4989
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://iris.paho.org/handle/10665.2/54988
info:eu-repo/semantics/altIdentifier/doi/10.26633/RPSP.2021.137
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Organización Panamericana de la Salud
publisher.none.fl_str_mv Organización Panamericana de la Salud
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
_version_ 1842268823540989952
score 13.13397

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