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Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools
BACKGROUND: Schools are high-risk settings for SARS-CoV-2 transmission, but necessary for children's educational and social-emotional wellbeing. Previous research suggests that wastewater monitoring can detect SARS-CoV-2 infections in controlled residential settings with high levels of accuracy...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939935/ https://www.ncbi.nlm.nih.gov/pubmed/36844610 http://dx.doi.org/10.1016/j.lana.2023.100449 |
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author | Fielding-Miller, Rebecca Karthikeyan, Smruthi Gaines, Tommi Garfein, Richard S. Salido, Rodolfo A. Cantu, Victor J. Kohn, Laura Martin, Natasha K. Wynn, Adriane Wijaya, Carrissa Flores, Marlene Omaleki, Vinton Majnoonian, Araz Gonzalez-Zuniga, Patricia Nguyen, Megan Vo, Anh V. Le, Tina Duong, Dawn Hassani, Ashkan Tweeten, Samantha Jepsen, Kristen Henson, Benjamin Hakim, Abbas Birmingham, Amanda De Hoff, Peter Mark, Adam M. Nasamran, Chanond A. Rosenthal, Sara Brin Moshiri, Niema Fisch, Kathleen M. Humphrey, Greg Farmer, Sawyer Tubb, Helena M. Valles, Tommy Morris, Justin Kang, Jaeyoung Khaleghi, Behnam Young, Colin Akel, Ameen D. Eilert, Sean Eno, Justin Curewitz, Ken Laurent, Louise C. Rosing, Tajana Knight, Rob |
author_facet | Fielding-Miller, Rebecca Karthikeyan, Smruthi Gaines, Tommi Garfein, Richard S. Salido, Rodolfo A. Cantu, Victor J. Kohn, Laura Martin, Natasha K. Wynn, Adriane Wijaya, Carrissa Flores, Marlene Omaleki, Vinton Majnoonian, Araz Gonzalez-Zuniga, Patricia Nguyen, Megan Vo, Anh V. Le, Tina Duong, Dawn Hassani, Ashkan Tweeten, Samantha Jepsen, Kristen Henson, Benjamin Hakim, Abbas Birmingham, Amanda De Hoff, Peter Mark, Adam M. Nasamran, Chanond A. Rosenthal, Sara Brin Moshiri, Niema Fisch, Kathleen M. Humphrey, Greg Farmer, Sawyer Tubb, Helena M. Valles, Tommy Morris, Justin Kang, Jaeyoung Khaleghi, Behnam Young, Colin Akel, Ameen D. Eilert, Sean Eno, Justin Curewitz, Ken Laurent, Louise C. Rosing, Tajana Knight, Rob |
author_sort | Fielding-Miller, Rebecca |
collection | PubMed |
description | BACKGROUND: Schools are high-risk settings for SARS-CoV-2 transmission, but necessary for children's educational and social-emotional wellbeing. Previous research suggests that wastewater monitoring can detect SARS-CoV-2 infections in controlled residential settings with high levels of accuracy. However, its effective accuracy, cost, and feasibility in non-residential community settings is unknown. METHODS: The objective of this study was to determine the effectiveness and accuracy of community-based passive wastewater and surface (environmental) surveillance to detect SARS-CoV-2 infection in neighborhood schools compared to weekly diagnostic (PCR) testing. We implemented an environmental surveillance system in nine elementary schools with 1700 regularly present staff and students in southern California. The system was validated from November 2020 to March 2021. FINDINGS: In 447 data collection days across the nine sites 89 individuals tested positive for COVID-19, and SARS-CoV-2 was detected in 374 surface samples and 133 wastewater samples. Ninety-three percent of identified cases were associated with an environmental sample (95% CI: 88%–98%); 67% were associated with a positive wastewater sample (95% CI: 57%–77%), and 40% were associated with a positive surface sample (95% CI: 29%–52%). The techniques we utilized allowed for near-complete genomic sequencing of wastewater and surface samples. INTERPRETATION: Passive environmental surveillance can detect the presence of COVID-19 cases in non-residential community school settings with a high degree of accuracy. FUNDING: County of San Diego, Health and Human Services Agency, 10.13039/100000002National Institutes of Health, 10.13039/100000001National Science Foundation, 10.13039/100000030Centers for Disease Control. |
format | Online Article Text |
id | pubmed-9939935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99399352023-02-21 Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools Fielding-Miller, Rebecca Karthikeyan, Smruthi Gaines, Tommi Garfein, Richard S. Salido, Rodolfo A. Cantu, Victor J. Kohn, Laura Martin, Natasha K. Wynn, Adriane Wijaya, Carrissa Flores, Marlene Omaleki, Vinton Majnoonian, Araz Gonzalez-Zuniga, Patricia Nguyen, Megan Vo, Anh V. Le, Tina Duong, Dawn Hassani, Ashkan Tweeten, Samantha Jepsen, Kristen Henson, Benjamin Hakim, Abbas Birmingham, Amanda De Hoff, Peter Mark, Adam M. Nasamran, Chanond A. Rosenthal, Sara Brin Moshiri, Niema Fisch, Kathleen M. Humphrey, Greg Farmer, Sawyer Tubb, Helena M. Valles, Tommy Morris, Justin Kang, Jaeyoung Khaleghi, Behnam Young, Colin Akel, Ameen D. Eilert, Sean Eno, Justin Curewitz, Ken Laurent, Louise C. Rosing, Tajana Knight, Rob Lancet Reg Health Am Articles BACKGROUND: Schools are high-risk settings for SARS-CoV-2 transmission, but necessary for children's educational and social-emotional wellbeing. Previous research suggests that wastewater monitoring can detect SARS-CoV-2 infections in controlled residential settings with high levels of accuracy. However, its effective accuracy, cost, and feasibility in non-residential community settings is unknown. METHODS: The objective of this study was to determine the effectiveness and accuracy of community-based passive wastewater and surface (environmental) surveillance to detect SARS-CoV-2 infection in neighborhood schools compared to weekly diagnostic (PCR) testing. We implemented an environmental surveillance system in nine elementary schools with 1700 regularly present staff and students in southern California. The system was validated from November 2020 to March 2021. FINDINGS: In 447 data collection days across the nine sites 89 individuals tested positive for COVID-19, and SARS-CoV-2 was detected in 374 surface samples and 133 wastewater samples. Ninety-three percent of identified cases were associated with an environmental sample (95% CI: 88%–98%); 67% were associated with a positive wastewater sample (95% CI: 57%–77%), and 40% were associated with a positive surface sample (95% CI: 29%–52%). The techniques we utilized allowed for near-complete genomic sequencing of wastewater and surface samples. INTERPRETATION: Passive environmental surveillance can detect the presence of COVID-19 cases in non-residential community school settings with a high degree of accuracy. FUNDING: County of San Diego, Health and Human Services Agency, 10.13039/100000002National Institutes of Health, 10.13039/100000001National Science Foundation, 10.13039/100000030Centers for Disease Control. Elsevier 2023-02-20 /pmc/articles/PMC9939935/ /pubmed/36844610 http://dx.doi.org/10.1016/j.lana.2023.100449 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Fielding-Miller, Rebecca Karthikeyan, Smruthi Gaines, Tommi Garfein, Richard S. Salido, Rodolfo A. Cantu, Victor J. Kohn, Laura Martin, Natasha K. Wynn, Adriane Wijaya, Carrissa Flores, Marlene Omaleki, Vinton Majnoonian, Araz Gonzalez-Zuniga, Patricia Nguyen, Megan Vo, Anh V. Le, Tina Duong, Dawn Hassani, Ashkan Tweeten, Samantha Jepsen, Kristen Henson, Benjamin Hakim, Abbas Birmingham, Amanda De Hoff, Peter Mark, Adam M. Nasamran, Chanond A. Rosenthal, Sara Brin Moshiri, Niema Fisch, Kathleen M. Humphrey, Greg Farmer, Sawyer Tubb, Helena M. Valles, Tommy Morris, Justin Kang, Jaeyoung Khaleghi, Behnam Young, Colin Akel, Ameen D. Eilert, Sean Eno, Justin Curewitz, Ken Laurent, Louise C. Rosing, Tajana Knight, Rob Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools |
title | Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools |
title_full | Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools |
title_fullStr | Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools |
title_full_unstemmed | Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools |
title_short | Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools |
title_sort | safer at school early alert: an observational study of wastewater and surface monitoring to detect covid-19 in elementary schools |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939935/ https://www.ncbi.nlm.nih.gov/pubmed/36844610 http://dx.doi.org/10.1016/j.lana.2023.100449 |
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