2022
DOI: 10.1101/2022.02.04.22270304
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Effective high-throughput RT-qPCR screening for SARS-CoV-2 infections in children

Abstract: Systematic SARS-CoV-2 testing is a valuable tool for infection control and surveillance. However, broad application of high sensitive RT-qPCR testing in children is often hampered due to unpleasant sample collection, limited RT-qPCR capacities, and high costs. Here, we developed a high-throughput approach (Lolli-Method) for sensitive SARS-CoV-2 detection in children, combining non-invasive sample collection with an RT-qPCR-pool testing strategy. SARS-CoV-2 infections were diagnosed with sensitivities of 100% a… Show more

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Cited by 2 publications
(5 citation statements)
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“…In most schools, the testing was carried out only once a week per student. To minimize the number of missed infections, it is conceivable that testing should be performed more often [ 12 ].…”
Section: Discussionmentioning
confidence: 99%
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“…In most schools, the testing was carried out only once a week per student. To minimize the number of missed infections, it is conceivable that testing should be performed more often [ 12 ].…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, RT-qPCR-pool testing reduces stigmatization as a student’s positive tests results are not immediately disclosed to their classmates leading to an increased acceptance of this surveillance method. In addition, we have recently compared the sensitivity of RADTs with that of the Lolli-Method obtained by RT-qPCR pool tests [ 12 , 22 , 23 ]. The Lolli-Method has proven to be more sensitive and therefore has the potential to detect SARS-CoV-2-positive individuals before they become highly infectious [ 12 , 22 ].…”
Section: Discussionmentioning
confidence: 99%
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“…Pooled testing of samples presents itself as a valid strategy to overcome these hurdles and to realize rapid, large-scale testing at lower cost and lower dependence on test reagents. By now, 1D pooling strategies have been widely applied for SARS-CoV-2 infection surveillance 1 3 .…”
Section: Introductionmentioning
confidence: 99%