Abstract

This study focuses on using wastewater-based epidemiology to provide early warnings of the second COVID-19 wave in the Detroit metropolitan area of Michigan. SARS-CoV-2 RNA from untreated wastewater samples was compared to reported public health records. Untreated wastewater samples were collected from the Great Lakes Water Authority (GLWA) Water Resource Recovery Facility (WRRF), located in southeast Michigan, between August 6, 2020 and December 14, 2020. The WRRF receives wastewater from its service area via three main interceptors: the Detroit River Interceptor (DRI), the North Interceptor-East Arm (NIEA), and the Oakwood-Northwest-Wayne County Interceptor (ONWI). A total of 144 untreated wastewater samples were collected (45, 48, and 51 for ONWI, NIEA, and DRI, respectively) at the point of intake into the WRRF. Virus-selective sampling was conducted, and viruses were isolated from wastewater using electropositive NanoCeram column filters. For each sample, an average of 33 L of wastewater was passed through NanoCeram electropositive cartridge filters at an average rate of Image (ie1) is missing or otherwise invalid.11  L/min. Viruses were eluted and concentrated, and the SARS-CoV-2 RNA concentrations were quantified with RT-qPCR. SARS-CoV-2 RNA was detected in 98% of the samples, and measured concentrations were in the range of 4.45×104Image (ie2) is missing or otherwise invalid. to 5.30×106Image (ie3) is missing or otherwise invalid. genomic copies/L. Early warnings of COVID-19 peaks were observed approximately 4 weeks prior to reported publicly available clinical data.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This study was funded by the Great Lakes Water Authority (GLWA) and by the Michigan Department of Environment, Great Lakes and Energy (EGLE). We thank Palencia Mobley and Anil Gosine with the Detroit Water and Sewerage Department for facilitating this study. We thank Arthur Chan, Andrew Kaye, Greg McGrath, and James Broz with CDM Smith for their support with sampling and the GIS and SWMM analysis.

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 147Issue 8August 2021

History

Received: Dec 21, 2020
Accepted: May 7, 2021
Published online: Jun 3, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 3, 2021

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Brijen Miyani [email protected]
Ph.D. Candidate, Michigan State Univ., A10 Engineering Research Complex, East Lansing, MI 48824. Email: [email protected]
Ph.D. Candidate, Michigan State Univ., A10 Engineering Research Complex, East Lansing, MI 48824. Email: [email protected]
Maddie Spooner [email protected]
Undergraduate Student, Michigan State Univ., A10 Engineering Research Complex, East Lansing, MI 48824. Email: [email protected]
Undergraduate Student, Michigan State Univ., A10 Engineering Research Complex, East Lansing, MI 48824. Email: [email protected]
Undergraduate Student, Michigan State Univ., A10 Engineering Research Complex, East Lansing, MI 48824. ORCID: https://orcid.org/0000-0003-4634-3247. Email: [email protected]
Anna Mehrotra [email protected]
Senior Environmental Engineer, CDM Smith, Inc., 75 State St., Suite 701, Boston, MA 02109. Email: [email protected]
John Norton, M.ASCE [email protected]
Director of Energy, Research and Innovation, Great Lakes Water Authority, 735 Randolph St., Suite 1100, Detroit, MI 48226. Email: [email protected]
Irene Xagoraraki, M.ASCE [email protected]
Associate Professor, Michigan State Univ., A124 Engineering Research Complex, East Lansing, MI 48824 (corresponding author). Email: [email protected]

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Cited by

  • Tracking the Time Lag between SARS-CoV-2 Wastewater Concentrations and Three COVID-19 Clinical Metrics: A 21-Month Case Study in the Tricounty Detroit Area, Michigan, Journal of Environmental Engineering, 10.1061/JOEEDU.EEENG-7509, 150, 1, (2024).
  • Simple methods for early warnings of COVID-19 surges: Lessons learned from 21 months of wastewater and clinical data collection in Detroit, Michigan, United States, Science of The Total Environment, 10.1016/j.scitotenv.2022.161152, 864, (161152), (2023).
  • Longitudinal SARS-CoV-2 RNA wastewater monitoring across a range of scales correlates with total and regional COVID-19 burden in a well-defined urban population, Water Research, 10.1016/j.watres.2022.118611, 220, (118611), (2022).
  • Surveillance of SARS-CoV-2 in nine neighborhood sewersheds in Detroit Tri-County area, United States: Assessing per capita SARS-CoV-2 estimations and COVID-19 incidence, Science of The Total Environment, 10.1016/j.scitotenv.2022.158350, 851, (158350), (2022).
  • Five-week warning of COVID-19 peaks prior to the Omicron surge in Detroit, Michigan using wastewater surveillance, Science of The Total Environment, 10.1016/j.scitotenv.2022.157040, 844, (157040), (2022).
  • The Urban Water Cycle as a Planning Tool to Monitor SARS-CoV-2: A Review of the Literature, Sustainability, 10.3390/su13169010, 13, 16, (9010), (2021).

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