Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46323
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dc.contributor.authorNATALIA, Yessika-
dc.contributor.authorHerzog, Sereina Annik-
dc.contributor.authorNEYENS, Thomas-
dc.contributor.authorZurl, Christoph Johann-
dc.contributor.authorStrenger, Volker-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorFAES, Christel-
dc.date.accessioned2025-06-30T12:09:22Z-
dc.date.available2025-06-30T12:09:22Z-
dc.date.issued2025-
dc.date.submitted2025-06-17T13:44:13Z-
dc.identifier.citationArchives of public health, 83 (1) (Art N° 152)-
dc.identifier.urihttp://hdl.handle.net/1942/46323-
dc.description.abstractIn 2021, the emergence of highly transmissible COVID-19 variants of concern increased susceptibility among younger populations. Despite this risk, face-to-face education remained essential for societal functioning and children's well-being, prompting the Austrian government to implement a nationwide screening program in educational institutions. This study explores the impact of this program on COVID-19 transmission by examining the relationship between incidence rates and factors such as age, vaccination coverage, and RT-qPCR positivity rates among school-aged children across Austrian districts, using a Bayesian spatiotemporal discrete model. Our findings highlight significant effects of vaccination and positivity rates on COVID-19 incidence, with variations in their influence across different age groups and locations. These results underscore the importance of monitoring these variables, particularly when active screening programs are in place.-
dc.description.sponsorshipFunding This research was supported by the BE-PIN project (TD/231/BE-PIN), funded by BELSPO (Belgian Science Policy Ofce) in the frame of the POST-COVID programme. Acknowledgements The authors thank Gunter Maier from the Austrian National Public Health Institute for providing vaccination data used in this study. The authors also thank Patrick Pertl from the Federal Ministry of Education, Science, and Research for his critical input on the RT-qPCR-based screening data.-
dc.language.isoen-
dc.publisherBMC-
dc.rightsThe Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modifed the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.-
dc.subject.otherAustria-
dc.subject.otherCOVID-19-
dc.subject.otherRT-qPCR-
dc.subject.otherSchool-
dc.subject.otherScreening-
dc.subject.otherSpatiotemporal analysis-
dc.titleCOVID-19 RT-qPCR-based screening in Austrian schools and incidences in the general population: a Bayesian spatiotemporal analysis-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume83-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr152-
dc.identifier.doi10.1186/s13690-025-01655-8-
dc.identifier.pmid40514747-
local.provider.typePubMed-
local.uhasselt.internationalyes-
item.contributorNATALIA, Yessika-
item.contributorHerzog, Sereina Annik-
item.contributorNEYENS, Thomas-
item.contributorZurl, Christoph Johann-
item.contributorStrenger, Volker-
item.contributorMOLENBERGHS, Geert-
item.contributorFAES, Christel-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationNATALIA, Yessika; Herzog, Sereina Annik; NEYENS, Thomas; Zurl, Christoph Johann; Strenger, Volker; MOLENBERGHS, Geert & FAES, Christel (2025) COVID-19 RT-qPCR-based screening in Austrian schools and incidences in the general population: a Bayesian spatiotemporal analysis. In: Archives of public health, 83 (1) (Art N° 152).-
crisitem.journal.issn0778-7367-
crisitem.journal.eissn2049-3258-
Appears in Collections:Research publications
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