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SARS-CoV-2 RNA and N Antigen Quantification via Wastewater at the Campus Level, Building Cluster Level, and Individual-Building Level

Winnie Zambrana, David Catoe, Mhara M. Coffman, Sooyeol Kim, Archana Anand, D. Solis, Malaya K. Sahoo, Benjamin A. Pinsky, Ami S. Bhatt, Alexandria B. Boehm, Marlene K. Wolfe

2022ACS ES&T Water24 citationsDOI

Abstract

Monitoring wastewater for SARS-CoV-2 from populations smaller than those served by wastewater treatment plants may help identify small spatial areas (subsewersheds) where COVID-19 infections are present. We sampled wastewater from three nested locations with different sized populations within the same sewer network at a university campus and quantified SARS-CoV-2 RNA using reverse transcriptase droplet digital polymerase chain reaction (PCR). SARS-CoV-2 RNA concentrations and/or concentrations normalized by PMMoV were positively associated with laboratory-confirmed COVID-19 cases for both the sewershed level and the subsewershed level. We also used an antigen-based assay to detect the nucleocapsid (N) antigen from SARS-CoV-2 in wastewater samples at the sewershed level. The N antigen was regularly detected at the sewershed level, but the results were not associated with either laboratory-confirmed COVID-19 cases or SARS-CoV-2 RNA concentrations. The results of this study indicate that wastewater monitoring based on quantification of SARS-CoV-2 RNA using PCR-based methods is associated with COVID-19 cases at multiple geographic scales within the subsewershed level and can serve to aid the public health response.

Topics & Concepts

WastewaterSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)RNACoronavirus disease 2019 (COVID-19)AntigenReal-time polymerase chain reactionVirologyReverse transcriptaseBiologyPolymerase chain reactionEnvironmental scienceMedicineEnvironmental engineeringImmunologyGeneGeneticsInternal medicineInfectious disease (medical specialty)DiseaseSARS-CoV-2 detection and testingBiosensors and Analytical DetectionAdvanced biosensing and bioanalysis techniques
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