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Year-long wastewater monitoring for SARS-CoV-2 signals in combined and separate sanitary sewers.
Fahrenfeld, Nicole L; Morales Medina, William R; D'Elia, Stephanie; Deshpande, Aishwarya S; Ehasz, Genevieve.
  • Fahrenfeld NL; Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Morales Medina WR; Department of Microbiology and Molecular Genetics, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • D'Elia S; Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Deshpande AS; Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
  • Ehasz G; Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Water Environ Res ; 94(8): e10768, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1971340
ABSTRACT
COVID-19 wastewater-based epidemiology has been performed in catchments of various sizes and sewer types with many short-term studies available and multi-seasonal studies emerging. The objective of this study was to compare weekly observations of SARS-CoV-2 genes in municipal wastewater across multiple seasons for different systems as a factor of sewer type (combined, separate sanitary) and system size. Sampling occurred following the first wave of SARS-CoV-2 cases in the study region (June 2020) and continued through the third wave (May 2021), the period during which clinical testing was widely available and different variants dominated clinical cases. The strongest correlations were observed between wastewater N1 concentrations and the cumulative clinical cases reported in the 2 weeks prior to wastewater sampling, followed by the week prior, new cases, and the week after wastewater sampling. Sewer type and size did not necessarily explain the strength of the correlations, indicating that other non-sewer factors may be impacting the observations. In-system sampling results for the largest system sampled are presented for 1 month. Removing wet weather days from the data sets improved even the flow-normalized correlations for the systems, potentially indicating that interpreting results during wet weather events may be more complicated than simply accounting for dilution. PRACTITIONER POINTS SARS-CoV-2 in wastewater correlated best with total clinical cases reported in 2 weeks before wastewater sampling at the utility level. Study performed when clinical testing was widespread during the year after the first COVID-19 wave in the region. Sewer type and size did not necessarily explain correlation strength between clinical cases and wastewater-based epidemiology results. Removing wet weather days improved correlations for 3/4 utilities studied, including both separate sanitary and combined sewers.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Water Environ Res Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: Wer.10768

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Water Environ Res Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: Wer.10768