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Longitudinal monitoring of SARS-CoV-2 in wastewater using viral genetic markers and the estimation of unconfirmed COVID-19 cases.
Li, Lin; Mazurowski, Lauren; Dewan, Aimee; Carine, Madeline; Haak, Laura; Guarin, Tatiana C; Dastjerdi, Niloufar Gharoon; Gerrity, Daniel; Mentzer, Casey; Pagilla, Krishna R.
  • Li L; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Mazurowski L; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Dewan A; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Carine M; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Haak L; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Guarin TC; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Dastjerdi NG; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
  • Gerrity D; Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.
  • Mentzer C; Truckee Meadows Water Reclamation Facility, Sparks, NV 89502, USA.
  • Pagilla KR; Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA. Electronic address: pagilla@unr.edu.
Sci Total Environ ; 817: 152958, 2022 Apr 15.
Article in English | MEDLINE | ID: covidwho-1712970
ABSTRACT
In this study, wastewater-based surveillance was carried out to establish the correlation between SARS-CoV-2 viral RNA concentrations in wastewater and the incidence of corona virus disease 2019 (COVID-19) from clinical testing. The influent wastewater of three major water reclamation facilities (WRFs) in Northern Nevada, serving a population of 390,750, was monitored for SARS-CoV-2 viral RNA gene markers, N1 and N2, from June 2020 through September 2021. A total of 614 samples were collected and analyzed. The SARS-CoV-2 concentrations in wastewater were observed to peak twice during the study period. A moderate correlation trend between coronavirus disease 2019 (COVID-19) incidence data from clinical testing and SARS-CoV-2 viral RNA concentrations in wastewater was observed (Spearman r = 0.533). This correlation improved when using weekly average SARS-CoV-2 marker concentrations of wastewater and clinical case data (Spearman r = 0.790), presumably by mitigating the inherent variability of the environmental dataset and the effects of clinical testing artifacts (e.g., reporting lags). The research also demonstrated the value of wastewater-based surveillance as an early warning signal for early detection of trends in COVID-19 incidence. This was accomplished by identifying that the reported clinical cases had a stronger correlation to SARS-CoV-2 wastewater monitoring data when they were estimated to lag 7-days behind the wastewater data. The results aided local decision makers in developing strategies to manage COVID-19 in the region and provide a framework for how wastewater-based surveillance can be applied across localities to enhance the public health monitoring of the ongoing pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.152958

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.152958