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dc.contributor.author
Ahmed, Warish  
dc.contributor.author
Simpson, Stuart L.  
dc.contributor.author
Bertsch, Paul M.  
dc.contributor.author
Bibby, Kyle  
dc.contributor.author
Bivins, Aaron  
dc.contributor.author
Blackall, Linda L.  
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Bofill-Mas, Sílvia  
dc.contributor.author
Bosch, Albert  
dc.contributor.author
Brandão, João  
dc.contributor.author
Choi, Phil M.  
dc.contributor.author
Ciesielski, Mark  
dc.contributor.author
Donner, Erica  
dc.contributor.author
D'Souza, Nishita  
dc.contributor.author
Farnleitner, Andreas H.  
dc.contributor.author
Gerrity, Daniel  
dc.contributor.author
Gonzalez, Raul  
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Griffith, John F.  
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Gyawali, Pradip  
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Haas, Charles N.  
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Hamilton, Kerry A.  
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Hapuarachchi, Hapuarachchige Chanditha  
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Harwood, Valerie J.  
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Rajal, Verónica Beatriz  
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Jackson, Greg  
dc.contributor.author
Khan, Stuart J.  
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Wuertz, Stefan  
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Xagoraraki, Irene  
dc.contributor.author
Zhang, Qian  
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Zimmer Faust, Amity G.  
dc.contributor.author
Shanks, Orin C.  
dc.date.available
2024-12-23T13:42:05Z  
dc.date.issued
2022-01-20  
dc.identifier.citation
Ahmed, Warish; Simpson, Stuart L.; Bertsch, Paul M.; Bibby, Kyle; Bivins, Aaron; et al.; Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance; Elsevier; Science of the Total Environment; 805; 149877; 20-1-2022; 1-20  
dc.identifier.issn
0048-9697  
dc.identifier.uri
http://hdl.handle.net/11336/251110  
dc.description.abstract
Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) inwastewater can potentially provide an earlywarning signal of COVID-19 infections in a community.The capacity of the world´s environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA inwastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative samplingapproaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularlywhen the incidence of SARS-CoV-2 inwastewater is low. Corrective and confirmatory actionsmust be in place for inconclusive results or results diverging fromcurrent trends (e.g., initial onset or reemergence of COVID-19 in a community).It is also prudent to perform interlaboratory comparisons to ensure results´ reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COVID-19  
dc.subject
SARS-COV-2  
dc.subject
WASTEWATER  
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SURVEILLANCE  
dc.subject.classification
Otras Ingeniería del Medio Ambiente  
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Ingeniería del Medio Ambiente  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-09-04T12:04:11Z  
dc.journal.volume
805  
dc.journal.number
149877  
dc.journal.pagination
1-20  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Ahmed, Warish. Commonwealth Scientific And Industrial Research Organisation (csiro);  
dc.description.fil
Fil: Simpson, Stuart L.. Commonwealth Scientific And Industrial Research Organisation (csiro);  
dc.description.fil
Fil: Bertsch, Paul M.. Radboud University Medical Center; Países Bajos  
dc.description.fil
Fil: Bibby, Kyle. University of Notre Dame; Estados Unidos  
dc.description.fil
Fil: Bivins, Aaron. University of Notre Dame; Estados Unidos  
dc.description.fil
Fil: Blackall, Linda L.. University of Melbourne; Australia  
dc.description.fil
Fil: Bofill-Mas, Sílvia. Universidad de Barcelona. Facultad de Biología; España  
dc.description.fil
Fil: Bosch, Albert. Universidad de Barcelona; España  
dc.description.fil
Fil: Brandão, João. Instituto Nacional de Saúde Dr. Ricardo Jorge; Portugal  
dc.description.fil
Fil: Choi, Phil M.. The University of Queensland; Australia  
dc.description.fil
Fil: Ciesielski, Mark. University of North Carolina; Estados Unidos  
dc.description.fil
Fil: Donner, Erica. University Of South Australia; Australia  
dc.description.fil
Fil: D'Souza, Nishita. Michigan State University; Estados Unidos  
dc.description.fil
Fil: Farnleitner, Andreas H.. Technische Universitat Wien; Austria  
dc.description.fil
Fil: Gerrity, Daniel. Southern Nevada Water Authority; Estados Unidos  
dc.description.fil
Fil: Gonzalez, Raul. Hampton Roads Sanitation District; Estados Unidos  
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Fil: Griffith, John F.. Southern California Coastal Water Research Project; Estados Unidos  
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Fil: Gyawali, Pradip. Institute Of Environmental Science And Research Ltd; Nueva Zelanda  
dc.description.fil
Fil: Haas, Charles N.. Drexel University; Estados Unidos  
dc.description.fil
Fil: Hamilton, Kerry A.. Arizona State University; Estados Unidos  
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Fil: Hapuarachchi, Hapuarachchige Chanditha. National Environment Agency; Singapur  
dc.description.fil
Fil: Harwood, Valerie J.. University Of South Florida; Estados Unidos  
dc.description.fil
Fil: Rajal, Verónica Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina  
dc.description.fil
Fil: Jackson, Greg. Health Protection Branch; Australia  
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Fil: Khan, Stuart J.. University of New South Wales; Australia  
dc.description.fil
Fil: Wuertz, Stefan. Stellenbosch University; Sudáfrica  
dc.description.fil
Fil: Xagoraraki, Irene. Michigan State University; Estados Unidos  
dc.description.fil
Fil: Zhang, Qian. University of Minnesota; Estados Unidos  
dc.description.fil
Fil: Zimmer Faust, Amity G.. Southern California Coastal Water Research Project; Estados Unidos  
dc.description.fil
Fil: Shanks, Orin C.. United States Environmental Protection Agency; Estados Unidos  
dc.journal.title
Science of the Total Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0048969721049524  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.scitotenv.2021.149877