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Evaluation of a Wastewater-Based Epidemiological Approach to Estimate the Prevalence of SARS-CoV-2 Infections and the Detection of Viral Variants in Disparate Oregon Communities at City and Neighborhood Scales.
Layton, Blythe A; Kaya, Devrim; Kelly, Christine; Williamson, Kenneth J; Alegre, Dana; Bachhuber, Silke M; Banwarth, Peter G; Bethel, Jeffrey W; Carter, Katherine; Dalziel, Benjamin D; Dasenko, Mark; Geniza, Matthew; George, Andrea; Girard, Anne-Marie; Haggerty, Roy; Higley, Kathryn A; Hynes, Denise M; Lubchenco, Jane; McLaughlin, Katherine R; Nieto, F Javier; Noakes, Aslan; Peterson, Matthew; Piemonti, Adriana D; Sanders, Justin L; Tyler, Brett M; Radniecki, Tyler S.
  • Layton BA; School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.
  • Kaya D; Department of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA.
  • Kelly C; School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.
  • Williamson KJ; School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.
  • Alegre D; Department of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA.
  • Bachhuber SM; Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
  • Banwarth PG; Department of Integrative Biology, OSU, Corvallis, Oregon, USA.
  • Bethel JW; Benton County Health Department, Corvallis, Oregon, USA.
  • Carter K; School of Biological and Population Health Sciences, OSU, Corvallis, Oregon, USA.
  • Dalziel BD; Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
  • Dasenko M; Department of Integrative Biology, OSU, Corvallis, Oregon, USA.
  • Geniza M; Department of Mathematics, OSU, Corvallis, Oregon, USA.
  • George A; Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
  • Girard AM; Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
  • Haggerty R; School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.
  • Higley KA; Department of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA.
  • Hynes DM; Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
  • Lubchenco J; College of Science, OSU, Corvallis, Oregon, USA.
  • McLaughlin KR; School of Nuclear Science and Engineering, OSU, Corvallis, Oregon, USA.
  • Nieto FJ; Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
  • Noakes A; U.S. Department of Veterans Affairs, Portland, Oregon, USA.
  • Peterson M; College of Public Health and Human Sciences, OSU, Corvallis, Oregon, USA.
  • Piemonti AD; Department of Integrative Biology, OSU, Corvallis, Oregon, USA.
  • Sanders JL; Department of Statistics, OSU, Corvallis, Oregon, USA.
  • Tyler BM; College of Public Health and Human Sciences, OSU, Corvallis, Oregon, USA.
  • Radniecki TS; College of Science, OSU, Corvallis, Oregon, USA.
Environ Health Perspect ; 130(6): 67010, 2022 06.
Article in English | MEDLINE | ID: covidwho-1910429
ABSTRACT

BACKGROUND:

Positive correlations have been reported between wastewater SARS-CoV-2 concentrations and a community's burden of infection, disease or both. However, previous studies mostly compared wastewater to clinical case counts or nonrepresentative convenience samples, limiting their quantitative potential.

OBJECTIVES:

This study examined whether wastewater SARS-CoV-2 concentrations could provide better estimations for SARS-CoV-2 community prevalence than reported cases of COVID-19. In addition, this study tested whether wastewater-based epidemiology methods could identify neighborhood-level COVID-19 hotspots and SARS-CoV-2 variants.

METHODS:

Community SARS-CoV-2 prevalence was estimated from eight randomized door-to-door nasal swab sampling events in six Oregon communities of disparate size, location, and demography over a 10-month period. Simultaneously, wastewater SARS-CoV-2 concentrations were quantified at each community's wastewater treatment plant and from 22 Newport, Oregon, neighborhoods. SARS-CoV-2 RNA was sequenced from all positive wastewater and nasal swab samples. Clinically reported case counts were obtained from the Oregon Health Authority.

RESULTS:

Estimated community SARS-CoV-2 prevalence ranged from 8 to 1,687/10,000 persons. Community wastewater SARS-CoV-2 concentrations ranged from 2.9 to 5.1 log10 gene copies per liter. Wastewater SARS-CoV-2 concentrations were more highly correlated (Pearson's r=0.96; R2=0.91) with community prevalence than were clinically reported cases of COVID-19 (Pearson's r=0.85; R2=0.73). Monte Carlo simulations indicated that wastewater SARS-CoV-2 concentrations were significantly better than clinically reported cases at estimating prevalence (p<0.05). In addition, wastewater analyses determined neighborhood-level COVID-19 hot spots and identified SARS-CoV-2 variants (B.1 and B.1.399) at the neighborhood and city scales.

DISCUSSION:

The greater reliability of wastewater SARS-CoV-2 concentrations over clinically reported case counts was likely due to systematic biases that affect reported case counts, including variations in access to testing and underreporting of asymptomatic cases. With these advantages, combined with scalability and low costs, wastewater-based epidemiology can be a key component in public health surveillance of COVID-19 and other communicable infections. https//doi.org/10.1289/EHP10289.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Systematic review/Meta Analysis Topics: Variants Limits: Humans Country/Region as subject: North America Language: English Journal: Environ Health Perspect Year: 2022 Document Type: Article Affiliation country: EHP10289

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Systematic review/Meta Analysis Topics: Variants Limits: Humans Country/Region as subject: North America Language: English Journal: Environ Health Perspect Year: 2022 Document Type: Article Affiliation country: EHP10289