The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Melissa Laverack; Rebecca Tallmadge; Roopa Venugopalan; Daniel Sheehan; Scott Ross; Rahim Rustamov; Kim S Potter; Francois Elvinger; Lorin D. Warnick; Gary A. Koretzky; Casey Frederici; Rob Lawlis; Elizabeth Plocharczyk; Diego G Diel

doi:10.20944/preprints202306.0801.v1

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preprints.org > biology and life sciences > virology > doi: 10.20944/preprints202306.0801.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Elizabeth Plocharczyk

Diego G Diel

Version 1 : Received: 10 June 2023 / Approved: 12 June 2023 / Online: 12 June 2023 (08:44:37 CEST)

A peer-reviewed article of this Preprint also exists.

Laverack, M.; Tallmadge, R.L.; Venugopalan, R.; Sheehan, D.; Ross, S.; Rustamov, R.; Frederici, C.; Potter, K.S.; Elvinger, F.; Warnick, L.D.; Koretzky, G.A.; Lawlis, R.; Plocharczyk, E.; Diel, D.G. The Cornell COVID-19 Testing Laboratory: Modeling High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness. Viruses 2023, 15, 1555. Laverack, M.; Tallmadge, R.L.; Venugopalan, R.; Sheehan, D.; Ross, S.; Rustamov, R.; Frederici, C.; Potter, K.S.; Elvinger, F.; Warnick, L.D.; Koretzky, G.A.; Lawlis, R.; Plocharczyk, E.; Diel, D.G. The Cornell COVID-19 Testing Laboratory: Modeling High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness. Viruses 2023, 15, 1555.

Abstract

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 high-throughput testing of clinical samples from the university and the surrounding community. This workflow enabled efficient and rapid detection, and successful control of SARS-CoV-2 infection on campus and its surrounding communities. Our cost-effective and fully automated workflow enabled testing of over 8,000 pooled samples per day and provided results for over 2 million samples. 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 turn-around 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.

Keywords

COVID-19; SARS-CoV-2; diagnostic workflow; surveillance

Subject

Biology and Life Sciences, Virology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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