Students attending schools play an important role in the transmission of influenza. In this study, we present a social network analysis of contacts among 1,828 students in eight different schools in urban and suburban areas in and near Pittsburgh, Pennsylvania, United States of America, including elementary, elementary-middle, middle, and high schools. We collected social contact information of students who wore wireless sensor devices that regularly recorded other devices if they are within a distance of 3 meters. We analyzed these networks to identify patterns of proximal student interactions in different classes and grades, to describe community structure within the schools, and to assess the impact of the physical environment of schools on proximal contacts. In the elementary and middle schools, we observed a high number of intra-grade and intra-classroom contacts and a relatively low number of inter-grade contacts. However, in high schools, contact networks were well connected and mixed across grades. High modularity of lower grades suggests that assumptions of homogeneous mixing in epidemic models may be inappropriate; whereas lower modularity in high schools suggests that homogenous mixing assumptions may be more acceptable in these settings. The results suggest that interventions targeting subsets of classrooms may work better in elementary schools than high schools. Our work presents quantitative measures of age-specific, school-based contacts that can be used as the basis for constructing models of the transmission of infections in schools.
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机译:BUZZ-YO-CHILD是一种袋装标签设备,其发明目的是在上学期间协助学生和家长。本发明将有助于使交通平稳地流过停靠降落区。大多数学校目前在放学期间面临许多问题,包括交通拥堵,学生坐在阳光下以及猜测父母何时开车经过。 Buzz Yo Child将在学校Wi-Fi系统上运行,并且家长将具有Buzz-Yo-Child应用程序,以将蜂鸣器警报发送到行李牌,以警告学生其父母在排队等候接送。