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High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York

A residential building’s wastewater presents a potential non-invasive method of surveilling numerous infectious diseases, including SARS-CoV-2. We analyzed wastewater from 16 different residential locations at Syracuse University (Syracuse, NY, USA) during fall semester 2020, testing for SARS-CoV-2...

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Detalles Bibliográficos
Autores principales: Godinez, Alex, Hill, Dustin, Dandaraw, Bryan, Green, Hyatt, Kilaru, Pruthvi, Middleton, Frank, Run, Sythong, Kmush, Brittany L., Larsen, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030442/
https://www.ncbi.nlm.nih.gov/pubmed/35457720
http://dx.doi.org/10.3390/ijerph19084851
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author Godinez, Alex
Hill, Dustin
Dandaraw, Bryan
Green, Hyatt
Kilaru, Pruthvi
Middleton, Frank
Run, Sythong
Kmush, Brittany L.
Larsen, David A.
author_facet Godinez, Alex
Hill, Dustin
Dandaraw, Bryan
Green, Hyatt
Kilaru, Pruthvi
Middleton, Frank
Run, Sythong
Kmush, Brittany L.
Larsen, David A.
author_sort Godinez, Alex
collection PubMed
description A residential building’s wastewater presents a potential non-invasive method of surveilling numerous infectious diseases, including SARS-CoV-2. We analyzed wastewater from 16 different residential locations at Syracuse University (Syracuse, NY, USA) during fall semester 2020, testing for SARS-CoV-2 RNA twice weekly and compared the presence of clinical COVID-19 cases to detection of the viral RNA in wastewater. The sensitivity of wastewater surveillance to correctly identify dormitories with a case of COVID-19 ranged from 95% (95% confidence interval [CI] = 76–100%) on the same day as the case was diagnosed to 73% (95% CI = 53–92%), with 7 days lead time of wastewater. The positive predictive value ranged from 20% (95% CI = 13–30%) on the same day as the case was diagnosed to 50% (95% CI = 40–60%) with 7 days lead time. The specificity of wastewater surveillance to correctly identify dormitories without a case of COVID-19 ranged from 60% (95% CI = 52–67%) on the day of the wastewater sample to 67% (95% CI = 58–74%) with 7 days lead time. The negative predictive value ranged from 99% (95% CI = 95–100%) on the day of the wastewater sample to 84% (95% CI = 77–91%) with 7 days lead time. Wastewater surveillance for SARS-CoV-2 at the building level is highly accurate in determining if residents have a COVID-19 infection. Particular benefit is derived from negative wastewater results that can confirm a building is COVID-19 free.
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spelling pubmed-90304422022-04-23 High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York Godinez, Alex Hill, Dustin Dandaraw, Bryan Green, Hyatt Kilaru, Pruthvi Middleton, Frank Run, Sythong Kmush, Brittany L. Larsen, David A. Int J Environ Res Public Health Article A residential building’s wastewater presents a potential non-invasive method of surveilling numerous infectious diseases, including SARS-CoV-2. We analyzed wastewater from 16 different residential locations at Syracuse University (Syracuse, NY, USA) during fall semester 2020, testing for SARS-CoV-2 RNA twice weekly and compared the presence of clinical COVID-19 cases to detection of the viral RNA in wastewater. The sensitivity of wastewater surveillance to correctly identify dormitories with a case of COVID-19 ranged from 95% (95% confidence interval [CI] = 76–100%) on the same day as the case was diagnosed to 73% (95% CI = 53–92%), with 7 days lead time of wastewater. The positive predictive value ranged from 20% (95% CI = 13–30%) on the same day as the case was diagnosed to 50% (95% CI = 40–60%) with 7 days lead time. The specificity of wastewater surveillance to correctly identify dormitories without a case of COVID-19 ranged from 60% (95% CI = 52–67%) on the day of the wastewater sample to 67% (95% CI = 58–74%) with 7 days lead time. The negative predictive value ranged from 99% (95% CI = 95–100%) on the day of the wastewater sample to 84% (95% CI = 77–91%) with 7 days lead time. Wastewater surveillance for SARS-CoV-2 at the building level is highly accurate in determining if residents have a COVID-19 infection. Particular benefit is derived from negative wastewater results that can confirm a building is COVID-19 free. MDPI 2022-04-16 /pmc/articles/PMC9030442/ /pubmed/35457720 http://dx.doi.org/10.3390/ijerph19084851 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Godinez, Alex
Hill, Dustin
Dandaraw, Bryan
Green, Hyatt
Kilaru, Pruthvi
Middleton, Frank
Run, Sythong
Kmush, Brittany L.
Larsen, David A.
High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York
title High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York
title_full High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York
title_fullStr High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York
title_full_unstemmed High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York
title_short High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York
title_sort high sensitivity and specificity of dormitory-level wastewater surveillance for covid-19 during fall semester 2020 at syracuse university, new york
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030442/
https://www.ncbi.nlm.nih.gov/pubmed/35457720
http://dx.doi.org/10.3390/ijerph19084851
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