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dc.contributor.author
Masachessi, Gisela  
dc.contributor.author
Castro, Gonzalo Manuel  
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Cachi, Ariana Mariela  
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Marinzalda, María de Los Angeles  
dc.contributor.author
Liendo, Matías  
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Pisano, María Belén  
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Sicilia, Paola  
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Ibarra, Gustavo  
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Rojas, Ricardo Manuel  
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López, Laura  
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Barbás, Gabriela  
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Cardozo, Diego  
dc.contributor.author
Ré, Viviana Elizabeth  
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Nates, Silvia Viviana  
dc.date.available
2023-08-10T11:23:00Z  
dc.date.issued
2022-07  
dc.identifier.citation
Masachessi, Gisela; Castro, Gonzalo Manuel; Cachi, Ariana Mariela; Marinzalda, María de Los Angeles; Liendo, Matías; et al.; Wastewater based epidemiology as a silent sentinel of the trend of SARS-CoV-2 circulation in the community in central Argentina; Pergamon-Elsevier Science Ltd; Water Research; 219; 7-2022; 1-10  
dc.identifier.issn
0043-1354  
dc.identifier.uri
http://hdl.handle.net/11336/207712  
dc.description.abstract
Monitoring wastewater for the traces of viruses allows effective surveillance of entire communities, including symptomatic and asymptomatic infected individuals, providing information on whether a specific pathogen is circulating in a population. In the context of the COVID-19 pandemic, 261 wastewater samples from six communities of the province of Córdoba, Argentina were analyzed. From mid-May 2020 to the end of August 2021, raw sewage samples were collected from the central network pipe that enters into the Wastewater Treatment Plants (WWTP) in Córdoba city and five communities in the Punilla Valley. SARS-CoV-2 was concentrated by using the polyethylene glycol-6000 precipitation method. Viral genomes were extracted from concentrated samples, and N- and E-SARS-CoV-2 genes were detected by using real time RT-PCR. Wastewater samples that resulted positive for SARS-CoV-2 genome detection were subjected to viral variants of concern (VOCs) identification by real time RT-PCR. Overall, just by using the identification of the N gene or E gene, the rates of viral genome detection were 43.4% (86/198) and 51.5% (102/198) respectively, and by using both methodologies (positivity criterion: detection of N and / or E gene), the detection rate was 71.2% (141/198). Thereby, the optimal strategy to study the SARS-CoV-2 genome in wastewater would be the use of the combined detection of both genes. Detection of SARS-CoV-2 variants in wastewater reflected their circulation in the community, showing no VOCs detection in the first COVID-19 wave and their co-circulation with Gamma, Alpha and Delta VOCs during 2021. Therefore, SARS-CoV-2 Wastewater Based Epidemiology (WBE) described the introduction, permanence and/or the co-circulation of viral variants in the community. In geographical areas with a stable population, SARS-CoV-2 WBE could be used as an early warning sign of new COVID-19 cases, whereas in localities with a low number of inhabitants and high tourist influx, WBE may only be useful to reflect the circulation of the virus in the community. Overall, the monitoring of SARS-CoV-2 in wastewater can become a silent sentinel of the trend of viral circulation in the community, providing supplementary information for clinical surveillance to support public health measures.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COVID-19  
dc.subject
PANDEMIC  
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SARS-COV-2  
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SARS-COV-2 VARIANTS IN WASTEWATER  
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WASTEWATER-BASED EPIDEMIOLOGY  
dc.subject.classification
Virología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Wastewater based epidemiology as a silent sentinel of the trend of SARS-CoV-2 circulation in the community in central Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-06-26T13:35:33Z  
dc.journal.volume
219  
dc.journal.pagination
1-10  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Masachessi, Gisela. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: Castro, Gonzalo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Cachi, Ariana Mariela. Universidad de la Defensa Nacional; Argentina  
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Fil: Marinzalda, María de Los Angeles. Universidad de la Defensa Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Liendo, Matías. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina  
dc.description.fil
Fil: Pisano, María Belén. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: Sicilia, Paola. No especifíca;  
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Fil: Ibarra, Gustavo. No especifíca;  
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Fil: Rojas, Ricardo Manuel. No especifíca;  
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Fil: López, Laura. Universidad Nacional de Córdoba. Facultad de Medicina; Argentina  
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Fil: Barbás, Gabriela. No especifíca;  
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Fil: Cardozo, Diego. No especifíca;  
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Fil: Ré, Viviana Elizabeth. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: Nates, Silvia Viviana. Universidad Nacional de Córdoba. Facultad de Medicina. Instituto de Virología Dr. J. M. Vanella; Argentina  
dc.journal.title
Water Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0043135422004948  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.watres.2022.118541