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Natalia, YA; Herzog, SA; Neyens, T; Zurl, CJ; Strenger, V; Molenberghs, G; Faes, C.
COVID-19 RT-qPCR-based screening in Austrian schools and incidences in the general population: a Bayesian spatiotemporal analysis.
Arch Public Health. 2025; 83(1):152
Doi: 10.1186/s13690-025-01655-8
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- Co-Autor*innen der Med Uni Graz
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Herzog Sereina Annik
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Strenger Volker
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Zurl Christoph Johann
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- Abstract:
- In 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.
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Austria
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COVID-19
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RT-qPCR
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Screening
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School
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Spatiotemporal analysis