Natalia Yessika Adelwin, Herzog Sereina Annik, Neyens Thomas, Zurl Christoph Johann, Strenger Volker, Molenberghs Geert, Faes Christel
I-Biostat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Arch Public Health. 2025 Jun 13;83(1):152. doi: 10.1186/s13690-025-01655-8.
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.
2021年,具有高度传染性的新冠病毒变异株的出现增加了年轻人群的易感性。尽管存在这种风险,但面对面教育对于社会运转和儿童福祉仍然至关重要,这促使奥地利政府在教育机构实施了一项全国性筛查计划。本研究通过使用贝叶斯时空离散模型,考察奥地利各地区学龄儿童的发病率与年龄、疫苗接种率和逆转录定量聚合酶链反应(RT-qPCR)阳性率等因素之间的关系,探讨了该计划对新冠病毒传播的影响。我们的研究结果突出了疫苗接种和阳性率对新冠病毒发病率的显著影响,且其影响在不同年龄组和地区存在差异。这些结果强调了监测这些变量的重要性,尤其是在实施主动筛查计划时。