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The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness
The unprecedented COVID-19 pandemic posed major challenges to local, regional, and global economies and health systems, and fast clinical diagnostic workflows were urgently needed to contain the spread of SARS-CoV-2. Here, we describe the platform and workflow established at the Cornell COVID-19 Tes...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385863/ https://www.ncbi.nlm.nih.gov/pubmed/37515241 http://dx.doi.org/10.3390/v15071555 |
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author | Laverack, Melissa Tallmadge, Rebecca L. Venugopalan, Roopa Sheehan, Daniel Ross, Scott Rustamov, Rahim Frederici, Casey Potter, Kim S. Elvinger, François Warnick, Lorin D. Koretzky, Gary A. Lawlis, Robert Plocharczyk, Elizabeth Diel, Diego G. |
author_facet | Laverack, Melissa Tallmadge, Rebecca L. Venugopalan, Roopa Sheehan, Daniel Ross, Scott Rustamov, Rahim Frederici, Casey Potter, Kim S. Elvinger, François Warnick, Lorin D. Koretzky, Gary A. Lawlis, Robert Plocharczyk, Elizabeth Diel, Diego G. |
author_sort | Laverack, Melissa |
collection | PubMed |
description | The unprecedented COVID-19 pandemic posed major challenges to local, regional, and global economies and health systems, and fast clinical diagnostic workflows were urgently needed to contain the spread of SARS-CoV-2. Here, we describe the platform and workflow established at the Cornell COVID-19 Testing Laboratory (CCTL) for the high-throughput testing of clinical samples from the university and the surrounding community. This workflow enabled efficient and rapid detection and the successful control of SARS-CoV-2 infection on campus and its surrounding communities. Our cost-effective and fully automated workflow enabled the testing of over 8000 pooled samples per day and provided results for over 2 million samples. The automation of time- and effort-intensive sample processing steps such as accessioning and pooling increased laboratory efficiency. Customized software applications were developed to track and store samples, deconvolute positive pools, track and report results, and for workflow integration from sample receipt to result reporting. Additionally, quality control dashboards and turnaround-time tracking applications were built to monitor assay and laboratory performance. As infectious disease outbreaks pose a constant threat to both human and animal health, the highly effective workflow implemented at CCTL could be modeled to establish regional high-capacity testing hubs for infectious disease preparedness and emergency response. |
format | Online Article Text |
id | pubmed-10385863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103858632023-07-30 The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness Laverack, Melissa Tallmadge, Rebecca L. Venugopalan, Roopa Sheehan, Daniel Ross, Scott Rustamov, Rahim Frederici, Casey Potter, Kim S. Elvinger, François Warnick, Lorin D. Koretzky, Gary A. Lawlis, Robert Plocharczyk, Elizabeth Diel, Diego G. Viruses Article The unprecedented COVID-19 pandemic posed major challenges to local, regional, and global economies and health systems, and fast clinical diagnostic workflows were urgently needed to contain the spread of SARS-CoV-2. Here, we describe the platform and workflow established at the Cornell COVID-19 Testing Laboratory (CCTL) for the high-throughput testing of clinical samples from the university and the surrounding community. This workflow enabled efficient and rapid detection and the successful control of SARS-CoV-2 infection on campus and its surrounding communities. Our cost-effective and fully automated workflow enabled the testing of over 8000 pooled samples per day and provided results for over 2 million samples. The automation of time- and effort-intensive sample processing steps such as accessioning and pooling increased laboratory efficiency. Customized software applications were developed to track and store samples, deconvolute positive pools, track and report results, and for workflow integration from sample receipt to result reporting. Additionally, quality control dashboards and turnaround-time tracking applications were built to monitor assay and laboratory performance. As infectious disease outbreaks pose a constant threat to both human and animal health, the highly effective workflow implemented at CCTL could be modeled to establish regional high-capacity testing hubs for infectious disease preparedness and emergency response. MDPI 2023-07-15 /pmc/articles/PMC10385863/ /pubmed/37515241 http://dx.doi.org/10.3390/v15071555 Text en © 2023 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 Laverack, Melissa Tallmadge, Rebecca L. Venugopalan, Roopa Sheehan, Daniel Ross, Scott Rustamov, Rahim Frederici, Casey Potter, Kim S. Elvinger, François Warnick, Lorin D. Koretzky, Gary A. Lawlis, Robert Plocharczyk, Elizabeth Diel, Diego G. The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness |
title | The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness |
title_full | The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness |
title_fullStr | The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness |
title_full_unstemmed | The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness |
title_short | The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness |
title_sort | cornell covid-19 testing laboratory: a model to high-capacity testing hubs for infectious disease emergency response and preparedness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385863/ https://www.ncbi.nlm.nih.gov/pubmed/37515241 http://dx.doi.org/10.3390/v15071555 |
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