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Lessons learned from SARS-CoV-2 measurements in wastewater.
Sharkey, Mark E; Kumar, Naresh; Mantero, Alejandro M A; Babler, Kristina M; Boone, Melinda M; Cardentey, Yoslayma; Cortizas, Elena M; Grills, George S; Herrin, James; Kemper, Jenny M; Kenney, Richard; Kobetz, Erin; Laine, Jennifer; Lamar, Walter E; Mader, Christopher C; Mason, Christopher E; Quintero, Anda Z; Reding, Brian D; Roca, Matthew A; Ryon, Krista; Solle, Natasha Schaefer; Schürer, Stephan C; Shukla, Bhavarth; Stevenson, Mario; Stone, Thomas; Tallon, John J; Venkatapuram, Sreeharsha S; Vidovic, Dusica; Williams, Sion L; Young, Benjamin; Solo-Gabriele, Helena M.
  • Sharkey ME; Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Kumar N; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Mantero AMA; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Babler KM; Department of Marine Biology and Ecology, University of Miami, Key Biscayne, FL, USA.
  • Boone MM; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Cardentey Y; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Cortizas EM; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Grills GS; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Herrin J; LuminUltra Technologies, Miami Lakes, FL, USA.
  • Kemper JM; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Kenney R; Housing Operations & Facilities, University of Miami, Coral Gables, FL, USA.
  • Kobetz E; Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Laine J; Environmental Health and Safety, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Lamar WE; Facilities Safety & Compliance, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Mader CC; Institute for Data Science & Computing, University of Miami, Coral Gables, FL, USA.
  • Mason CE; Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA.
  • Quintero AZ; LuminUltra Technologies, Miami Lakes, FL, USA.
  • Reding BD; Environmental Health and Safety, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Roca MA; Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, FL, USA.
  • Ryon K; Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA.
  • Solle NS; Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Schürer SC; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Institute for Data Science & Computing, University of Miami, Coral Gables, FL, USA; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL
  • Shukla B; Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Stevenson M; Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Stone T; Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Tallon JJ; Facilities and Operations, University of Miami, Coral Gables, FL, USA.
  • Venkatapuram SS; Institute for Data Science & Computing, University of Miami, Coral Gables, FL, USA.
  • Vidovic D; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL, USA.
  • Williams SL; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.
  • Young B; Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA.
  • Solo-Gabriele HM; Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, FL, USA. Electronic address: hmsolo@miami.edu.
Sci Total Environ ; 798: 149177, 2021 Dec 01.
Article in English | MEDLINE | ID: covidwho-1322347
ABSTRACT
Standardized protocols for wastewater-based surveillance (WBS) for the RNA of SARS-CoV-2, the virus responsible for the current COVID-19 pandemic, are being developed and refined worldwide for early detection of disease outbreaks. We report here on lessons learned from establishing a WBS program for SARS-CoV-2 integrated with a human surveillance program for COVID-19. We have established WBS at three campuses of a university, including student residential dormitories and a hospital that treats COVID-19 patients. Lessons learned from this WBS program address the variability of water quality, new detection technologies, the range of detectable viral loads in wastewater, and the predictive value of integrating environmental and human surveillance data. Data from our WBS program indicated that water quality was statistically different between sewer sampling sites, with more variability observed in wastewater coming from individual buildings compared to clusters of buildings. A new detection technology was developed based upon the use of a novel polymerase called V2G. Detectable levels of SARS-CoV-2 in wastewater varied from 102 to 106 genomic copies (gc) per liter of raw wastewater (L). Integration of environmental and human surveillance data indicate that WBS detection of 100 gc/L of SARS-CoV-2 RNA in wastewater was associated with a positivity rate of 4% as detected by human surveillance in the wastewater catchment area, though confidence intervals were wide (ß ~ 8.99 ∗ ln(100); 95% CI = 0.90-17.08; p < 0.05). Our data also suggest that early detection of COVID-19 surges based on correlations between viral load in wastewater and human disease incidence could benefit by increasing the wastewater sample collection frequency from weekly to daily. Coupling simpler and faster detection technology with more frequent sampling has the potential to improve the predictive potential of using WBS of SARS-CoV-2 for early detection of the onset of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article Affiliation country: J.scitotenv.2021.149177

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2021 Document Type: Article Affiliation country: J.scitotenv.2021.149177