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Application of neighborhood-scale wastewater-based epidemiology in low COVID-19 incidence situations.
Oh, Chamteut; Zhou, Aijia; O'Brien, Kate; Jamal, Yusuf; Wennerdahl, Hayden; Schmidt, Arthur R; Shisler, Joanna L; Jutla, Antarpreet; Schmidt, Arthur R; Keefer, Laura; Brown, William M; Nguyen, Thanh H.
  • Oh C; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States. Electronic address: co14@illinois.edu.
  • Zhou A; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
  • O'Brien K; School of Integrative Biology, University of Illinois Urbana-Champaign, United States.
  • Jamal Y; Department of Environmental Engineering Sciences, University of Florida, Gainesville, United States.
  • Wennerdahl H; Illinois State Water Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, United States.
  • Schmidt AR; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
  • Shisler JL; Department of Microbiology, University of Illinois Urbana-Champaign, United States.
  • Jutla A; Department of Environmental Engineering Sciences, University of Florida, Gainesville, United States.
  • Schmidt AR; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
  • Keefer L; Illinois State Water Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, United States.
  • Brown WM; Department of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, United States.
  • Nguyen TH; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States; Institute of Genomic Biology, University of Illinois Urbana-Champaign, United States.
Sci Total Environ ; 852: 158448, 2022 Dec 15.
Article in English | MEDLINE | ID: covidwho-2008100
ABSTRACT
Wastewater-based epidemiology (WBE), an emerging approach for community-wide COVID-19 surveillance, was primarily characterized at large sewersheds such as wastewater treatment plants serving a large population. Although informed public health measures can be better implemented for a small population, WBE for neighborhood-scale sewersheds is less studied and not fully understood. This study applied WBE to seven neighborhood-scale sewersheds (average population of 1471) from January to November 2021. Community testing data showed an average of 0.004 % incidence rate in these sewersheds (97 % of monitoring periods reported two or fewer daily infections). In 92 % of sewage samples, SARS-CoV-2 N gene fragments were below the limit of quantification. We statistically determined 10-2.6 as the threshold of the SARS-CoV-2 N gene concentration normalized to pepper mild mottle virus (N/PMMOV) to alert high COVID-19 incidence rate in the studied sewershed. This threshold of N/PMMOV identified neighborhood-scale outbreaks (COVID-19 incidence rate higher than 0.2 %) with 82 % sensitivity and 51 % specificity. Importantly, neighborhood-scale WBE can discern local outbreaks that would not otherwise be identified by city-scale WBE. Our findings suggest that neighborhood-scale WBE is an effective community-wide disease surveillance tool when COVID-19 incidence is maintained at a low level.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater-Based Epidemiological Monitoring / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater-Based Epidemiological Monitoring / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article