Elementary schools are environments in which immunologically immature students come into close contact with each other and are susceptible to the spread of infectious diseases. Analyzing the behavior of multiple students has been challenging, and the relationship between infections remains unclear. In this study, we analyzed the relevance between droplet and contact transmission and the behavior of elementary school students using video-recorded data, network analyses, and simulations. The analysis of communication behavior revealed the diverse nature of interactions among students. By calculating the droplet transmission probabilities based on conversation duration, this study quantified the risk of droplet transmission in elementary schools. The analysis of contact behavior introduces a novel approach for constructing contact networks based on contact history. According to this method, items such as desks, shirts, and doors have the potential to be used as fomites for virus transmission. In addition, the reliability of the predictions was demonstrated through micro-simulations. Interestingly, the micro-simulations indicated that the majority of virus copies were transmitted through single items, emphasizing the importance of targeted hygiene measures. This study contributes significantly to the prevention of infectious diseases in elementary schools by providing evidence-based information on transmission pathways and behavior-related risks. Moreover, the insights from this study can guide the development of simulation models for analyzing infection risks in educational settings.
Quantification of droplet and contact transmission risks among elementary school students based on network analyses using video-recorded data
Shuta Kikuchi,Keisuke Nakajima,Yasuki Kato,Takeshi Takizawa,Junichi Sugiyama,Taisei Mukai,Yasushi Kakizawa,Setsuya Kurahashi
Published 2024 in medRxiv
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- Publication year
2024
- Venue
medRxiv
- Publication date
2024-10-27
- Fields of study
Medicine, Education, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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