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Development of Wastewater Pooled Surveillance of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from Congregate Living Settings.
Colosi, Lisa M; Barry, Katie E; Kotay, Shireen M; Porter, Michael D; Poulter, Melinda D; Ratliff, Cameron; Simmons, William; Steinberg, Limor I; Wilson, D Derek; Morse, Rena; Zmick, Paul; Mathers, Amy J.
  • Colosi LM; Department of Engineering Systems & Environment, University of Virginia, Charlottesville, Virginia, USA.
  • Barry KE; Department of Medicine, Division of Infectious Diseases, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Kotay SM; Department of Medicine, Division of Infectious Diseases, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Porter MD; Department of Engineering Systems & Environment, University of Virginia, Charlottesville, Virginia, USA.
  • Poulter MD; School of Data Science, University of Virginia, Charlottesville, Virginia, USA.
  • Ratliff C; Clinical Microbiology Laboratory, Department of Pathology, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Simmons W; Facilities Management, Energy and Utilities Division, University of Virginia, Charlottesville, Virginia, USA.
  • Steinberg LI; Facilities Management, Energy and Utilities Division, University of Virginia, Charlottesville, Virginia, USA.
  • Wilson DD; Department of Medicine, Division of Infectious Diseases, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Morse R; Facilities Management, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Zmick P; Health Information & Technology, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Mathers AJ; Facilities Management, Energy and Utilities Division, University of Virginia, Charlottesville, Virginia, USA.
Appl Environ Microbiol ; 87(13): e0043321, 2021 06 11.
Article in English | MEDLINE | ID: covidwho-1276883
ABSTRACT
Wastewater-based monitoring for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the individual building level could be an efficient, passive means of early detection of new cases in congregate living settings, but this approach has not been validated. Preliminary samples were collected from a hospital and a local municipal wastewater treatment plant. Molecular diagnostic methods were compared side by side to assess feasibility, performance, and sensitivity. Refined sample collection and processing protocols were then used to monitor two occupied dormitory complexes (n = 105 and 66) over 8 weeks. Wastewater results were validated using known case counts from external clinical testing of building occupants. Results confirm that ultracentrifugation from a 24-h composite collection had a sensitivity of 96.2% and a specificity of 100%. However, the method could not distinguish new infectious cases from persistent convalescent shedding of SARS-CoV-2 RNA. If the detection of convalescent shedding is considered a false positive, then the sensitivity is 100% and specificity drops to 45%. It was determined that the proposed approach constitutes a highly sensitive wastewater surveillance method for detecting SARS-CoV-2, but it could not distinguish new infectious cases from persistent convalescent shedding. Future work must focus on approaches to distinguish new infections from convalescent shedding to fully realize the potential of building wastewater as a surveillance tool for congregate living. IMPORTANCE Some of the most severe outbreaks of COVID-19 have taken place in places where persons live together, such as nursing homes. Wastewater testing from individual buildings could be used for frequent pooled surveillance of virus from all occupants, including those who are contagious, with or without symptoms. This work provides a sensitive practical method for detecting infected individuals, as validated in two building complexes housing occupants who underwent frequent clinical testing performed by external entities. Although this sensitive method could be deployed now for pooled surveillance as an early warning system to limit outbreaks, the study shows that the approach will require further refinement to differentiate contagious, newly infected individuals from persons who have persistent viral fragments shedding in their stool outside the contagious period.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Residential Facilities / Wastewater / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Appl Environ Microbiol Year: 2021 Document Type: Article Affiliation country: AEM.00433-21

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Residential Facilities / Wastewater / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Appl Environ Microbiol Year: 2021 Document Type: Article Affiliation country: AEM.00433-21