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Scaling of SARS-CoV-2 RNA in Settled Solids from Multiple Wastewater Treatment Plants to Compare Incidence Rates of Laboratory-Confirmed COVID-19 in Their Sewersheds.
Wolfe, Marlene K; Archana, Anand; Catoe, David; Coffman, Mhara M; Dorevich, Samuel; Graham, Katherine E; Kim, Sooyeol; Grijalva, Lorelay Mendoza; Roldan-Hernandez, Laura; Silverman, Andrea I; Sinnott-Armstrong, Nasa; Vugia, Duc J; Yu, Alexander T; Zambrana, Winnie; Wigginton, Krista R; Boehm, Alexandria B.
Affiliation
  • Wolfe MK; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Archana A; 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, Stanford, California 94305, United States.
  • Coffman MM; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Dorevich S; Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois, Chicago, Illinois 60612, United States.
  • Graham KE; 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.
  • Grijalva LM; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Roldan-Hernandez L; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Silverman AI; Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, New York 11201, United States.
  • Sinnott-Armstrong N; School of Global Public Health, New York University, New York, New York 10003, United States.
  • Vugia DJ; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, United States.
  • Yu AT; Infectious Diseases Branch, California Department of Public Health, Richmond, California 94804, United States.
  • Zambrana W; Infectious Diseases Branch, California Department of Public Health, Richmond, California 94804, United States.
  • Wigginton KR; Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
  • Boehm AB; Department of Civil and Environmental Engineering, University of Michigan,Ann Arbor, Michigan 48109, United States.
Environ Sci Technol Lett ; 8(5): 398-404, 2021 May 11.
Article in En | MEDLINE | ID: mdl-37566351
ABSTRACT
Published and unpublished reports show that SARS-CoV-2 RNA in publicly owned treatment work (POTW) wastewater influent and solids is associated with new COVID-19 cases or incidence in associated sewersheds, but methods for comparing data collected from diverse POTWs to infer information about the relative incidence of laboratory-confirmed COVID-19 cases, and scaling to allow such comparisons, have not been previously established. Here, we show that SARS-CoV-2 N1 and N2 concentrations in solids normalized by concentrations of PMMoV RNA in solids can be used to compare incidence of laboratory confirmed new COVID-19 cases across POTWs. Using data collected at seven POTWs along the United States West Coast, Midwest, and East Coast serving ∼3% of the U.S. population (9 million people), we show that a 1 log change in N gene/PMMoV is associated with a 0.24 (range 0.19 to 0.29) log10 change in incidence of laboratory confirmed COVID-19. Scaling of N1 and N2 by PMMoV is consistent, conceptually, with a mass balance model relating SARS-CoV-2 RNA to the number of infected individuals shedding virus in their stool. This information should support the application of wastewater-based epidemiology to inform the response to the COVID-19 pandemic and potentially future viral pandemics.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Incidence_studies / Risk_factors_studies Language: En Journal: Environ Sci Technol Lett Year: 2021 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Incidence_studies / Risk_factors_studies Language: En Journal: Environ Sci Technol Lett Year: 2021 Document type: Article Affiliation country: Estados Unidos