2023
DOI: 10.3390/v15071555
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The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Melissa Laverack,
Rebecca L. Tallmadge,
Roopa Venugopalan
et al.

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 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-Co… Show more

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Cited by 2 publications
(12 citation statements)
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“…[16] Result reporting for pooled samples had a median turnaround time of 4 hours and 46 minutes, although positive pools had a median turn-around time of 22 hours and 19 minutes. [16] Samples that were not pooled (and tested individually) had a median turn-around time of 3 hours and 56 minutes. [16] Although logistically more complicated, pooling increased efficiency, enabling rapid test result communication, which ultimately improved the effectiveness of intervention among positive cases.…”
Section: Automation and Poolingmentioning
confidence: 96%
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“…[16] Result reporting for pooled samples had a median turnaround time of 4 hours and 46 minutes, although positive pools had a median turn-around time of 22 hours and 19 minutes. [16] Samples that were not pooled (and tested individually) had a median turn-around time of 3 hours and 56 minutes. [16] Although logistically more complicated, pooling increased efficiency, enabling rapid test result communication, which ultimately improved the effectiveness of intervention among positive cases.…”
Section: Automation and Poolingmentioning
confidence: 96%
“…The well position within the 96-well plate and the sample position in storage racks were retained and managed through a custom software application (COVID-19 Receiving App). [16] Three wells were left as controls. [16] In forty-five minutes, 465 samples were pooled into 93 wells of the 96-well plate.…”
Section: Automation and Poolingmentioning
confidence: 99%
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