Implementing the Lolli-Method and pooled RT-qPCR testing for SARS-CoV-2 surveillance in schools: a pilot project.

Autor: Kretschmer, Alina Chloé, Junker, Lena, Dewald, Felix, Linne, Viktoria, Hennen, Lea, Horemheb-Rubio, Gibran, Kaiser, Rolf, Steger, Gertrud, Joachim, Alexander, Schönenkorb, Jana, Cosgun, Zülfü Cem, Mühlhans, Neslihan, Heger, Eva, Knops, Elena, Leisse, Charlotte, Kessel, Barbora, Heinsohn, Torben, Rodiah, Isti, Lange, Berit, Ritter, Anne Lena
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Zdroj: Infection; Apr2023, Vol. 51 Issue 2, p459-464, 6p, 1 Chart, 3 Graphs
Abstrakt: Purpose: School closures have been used as part of lockdown strategies to contain the spread of SARS-CoV-2, adversely affecting children's health and education. To ensure the accessibility of educational institutions without exposing society to the risk of increased transmissions, it is essential to establish SARS-CoV-2 testing strategies that are child-friendly, scalable and implementable in a daily school routine. Self-sampling using non-invasive saliva swabs combined with pooled RT-qPCR testing (Lolli-Method) has been proven to be a sensitive method for the detection of SARS-CoV-2. Methods: We conducted a pilot project in Cologne, Germany, designed to determine the feasibility of a large-scale rollout of the Lolli-Method for testing without any additional on-site medical staff in schools. Over a period of three weeks, students from 22 schools were sampled using the Lolli-Method. At the end of the project, teachers were asked to evaluate the overall acceptance of the project. Results: We analyzed a total of 757 pooled RT-qPCRs obtained from 8,287 individual swabs and detected 7 SARS-CoV-2 infected individuals. The Lolli-Method was shown to be a feasible and accepted testing strategy whose application is only slightly disruptive to the daily school routine. Conclusion: Our observations suggest that the Lolli-Method in combination with pooled RT-qPCR can be implemented for SARS-CoV-2 surveillance in daily school routine, applicable on a large scale. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index