Objective: to report on the characteristics and impact of "Igiene Insieme", a school-based national-level educational programme designed and implemented in Italy to promote hygiene and sanitation in schools, stimulate healthy behaviors in teachers, students and their families, and ultimately fight COVID-19.
Methods: the project targeted kindergartens and primary schools and included three components: the design and delivery of innovative health education interventions to i) students and ii) teachers, and iii) the provision of sanitation products in schools. Here we describe the intervention, report on the project penetration and evaluate its impact. First, a survey was conducted on a convenience sample of 1,005 teachers to evaluate the project at the national level, then a retrospective analysis was conducted in the Lombardy region comparing SARS-CoV-2 infection incidence rate in schools participating to the project with regional burden data.
Results: Over 8,000 Italian schools joined the project, for a total of 32,000 teachers and 1.1 million students. Survey respondents rated the educational interventions and the provision of sanitation products as excellent (66.6% and 82.5%, respectively) and reported the project to have greatly impacted on students' health behaviors. In the Lombardy region, 271 primary schools (11%) joined the project and 140 (52%) provided COVID-19 burden data. Over the study period, SARS-CoV-2 infection incidence rate in schools participating in the project was 14% lower as compared to regional-level data (643 per 100,000 vs. 747 per 100,000).
Conclusions: We raise awareness on the importance of promoting health education and infectious diseases primary prevention in schools, and to plan, implement and monitor student-centred interventions during and beyond COVID-19 times.
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http://dx.doi.org/10.23750/abm.v92iS6.12327 | DOI Listing |
Behav Res Methods
December 2024
Department of Education Studies, Hong Kong Baptist University, Kowloon Tong, Kowloon, Hong Kong.
The absence of explicit word boundaries is a distinctive characteristic of Chinese script, setting it apart from most alphabetic scripts, leading to word boundary disagreement among readers. Previous studies have examined how this feature may influence reading performance. However, further investigations are required to generate more ecologically valid and generalizable findings.
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December 2024
Department of Geophysics, Graduate School of Science, Tohoku University, Sendai, 980-8578, Japan.
Accurate characterisation of seismic source mechanisms in mining environments is crucial for effective hazard mitigation, but it is complicated by the presence of anisotropic geological conditions. Neglecting anisotropic effects during moment tensor (MT) inversion introduces significant distortions in the retrieved source characteristics. In this study, we investigated the impact of ignoring anisotropy during MT inversion on the reliability of hazard assessment.
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December 2024
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China.
A novel adaptive model-based motion control method for multi-UAV communication relay is proposed, which aims at improving the networks connectivity and the communications performance among a fleet of ground unmanned vehicles. The method addresses the challenge of relay UAVs motion control through joint consideration with unknown multi-user mobility, environmental effects on channel characteristics, unavailable angle-of-arrival data of received signals, and coordination among multiple UAVs. The method consists of two parts: (1) Network connectivity is constructed and communication performance index is defined using the minimum spanning tree in graph theory, which considers both the communication link between ground node and UAV, and the communication link between ground nodes.
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December 2024
Industrial and Systems Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
The framework of the methodology presented in this study is an effort to integrate and optimize the agro-industry sector, especially energy in biogas. In this study, the technique of the system in functional analysis is shown systematically to translate various energy requirements in the factory as criteria for performance and functional design to be integrated, optimized, and energy efficient. The case study results indicated that biogas power plants, with a capacity of 1.
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December 2024
College of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China.
The scattering of tiny particles in the atmosphere causes a haze effect on remote sensing images captured by satellites and similar devices, significantly disrupting subsequent image recognition and classification. A generative adversarial network named TRPC-GAN with texture recovery and physical constraints is proposed to mitigate this impact. This network not only effectively removes haze but also better preserves the texture information of the original remote sensing image, thereby enhancing the visual quality of the dehazed image.
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