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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.
Zambrana, Winnie; Catoe, David; Coffman, Mhara M; Kim, Sooyeol; Anand, Archana; Solis, Daniel; Sahoo, Malaya K; Pinsky, Benjamin A; Bhatt, Ami S; Boehm, Alexandria B; Wolfe, Marlene K.
Afiliación
  • Zambrana W; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Catoe D; Joint Initiative for Metrology in Biology, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, California 94025, United States.
  • Coffman MM; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Kim S; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Anand A; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Solis D; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States.
  • Sahoo MK; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States.
  • Pinsky BA; Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, United States.
  • Bhatt AS; Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California 94305, United States.
  • Boehm AB; Department of Medicine (Hematology) and Department of Genetics, Stanford University, Stanford, California 94305, United States.
  • Wolfe MK; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
ACS ES T Water ; 2(11): 2025-2033, 2022 Nov 11.
Article en En | MEDLINE | ID: mdl-37552722
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: ACS ES T Water Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: ACS ES T Water Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos