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Feasibility and Diagnostic Accuracy of Saliva-Based SARS-CoV-2 Screening in Educational Settings and Children Aged <12 Years
- Source :
- Diagnostics, Vol 11, Iss 1797, p 1797 (2021), Diagnostics
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Children have been disproportionately affected during the COVID-19 pandemic. We aimed to assess a saliva-based algorithm for SARS-CoV-2 testing to be used in schools and childcare institutions under pandemic conditions. A weekly SARS-CoV-2 sentinel study in primary schools, kindergartens, and childcare facilities was conducted over a 12-week-period. In a sub-study covering 7 weeks, 1895 paired oropharyngeal and saliva samples were processed for SARS-CoV-2 rRT-PCR testing in both asymptomatic children (n = 1243) and staff (n = 652). Forty-nine additional concurrent swab and saliva samples were collected from SARS-CoV-2 infected patients (patient cohort). The Salivette® system was used for saliva collection and assessed for feasibility and diagnostic performance. For children, a mean of 1.18 mL saliva could be obtained. Based on results from both cohorts, the Salivette® testing algorithm demonstrated the specificity of 100% (95% CI 99.7–100) and sensitivity of 94.9% (95% CI 81.4–99.1) with oropharyngeal swabs as reference. Agreement between sampling systems was 100% for moderate to high viral load situations (defined as Ct-values ® system proved to be an easy-to-use, safe and feasible saliva collection method and a more pleasant alternative to oropharyngeal swabs for SARS-CoV-2 testing in children aged 3 years and above.
- Subjects :
- medicine.medical_specialty
Saliva
Medicine (General)
Coronavirus disease 2019 (COVID-19)
business.industry
Salivette®
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Clinical Biochemistry
Diagnostic accuracy
Asymptomatic
Article
primary school
saliva sampling
R5-920
stomatognathic system
childcare facilities
Internal medicine
Cohort
Medicine
Sampling (medicine)
medicine.symptom
business
Viral load
Subjects
Details
- Language :
- English
- ISSN :
- 20754418
- Volume :
- 11
- Issue :
- 1797
- Database :
- OpenAIRE
- Journal :
- Diagnostics
- Accession number :
- edsair.doi.dedup.....ab4bdd8fd202334c06beaa58e0dc69cf