Masumoto Yukiko, Kawasaki Hiromi, Matsuyama Ryota, Tsunematsu Miwako, Kakehashi Masayuki
Department of School and Public Health Nursing, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Faculty of Health and Welfare, Department of Welfare, Seinan Jo Gakuin University, Fukuoka, Japan.
PLoS One. 2025 Jan 23;20(1):e0317017. doi: 10.1371/journal.pone.0317017. eCollection 2025.
School closures are a safe and important strategy for preventing infectious diseases in schools. However, the effects of school closures have not been fully demonstrated, and prolonged school closures have a negative impact on students and communities. This study evaluated class-specific school closure strategies to prevent the spread of seasonal influenza and determine the optimal timing and duration. We constructed a new model to describe the incidence of influenza in each class based on a stochastic susceptible-exposed-infected-removed model. We collected data on the number of infected absentees and class-specific school closures due to influenza from four high schools and the number of infected cases from the community in a Japanese city over three seasons (2016-2017, 2017-2018, and 2018-2019). The parameters included in the model were estimated using epidemic data. We evaluated the effects of class-specific school closures by measuring the reduced cumulative incidence of class closures per day. The greatest reduction in the cumulative absences per day was observed in the four-day class closure. When class-specific school closures lasted for four days, the reduction in the cumulative number of infections per class closure day was greater when the closure was timed earlier. The highest reduction in the number of class closures per person-day occurred when the threshold was around 5.0%. Large variations in the reduction of cumulative incidence were noted owing to stochastic factors. Reactive, class-specific school closures for seasonal influenza were most efficient when the percentage of newly infected students exceeded around 5.0%, with a closure duration of four days. The optimal strategy of class-specific school closure provides good long-term performance but may be affected by random variations.
学校关闭是预防学校传染病的一项安全且重要的策略。然而,学校关闭的效果尚未得到充分证明,长期的学校关闭会对学生和社区产生负面影响。本研究评估了针对特定班级的学校关闭策略,以预防季节性流感的传播,并确定最佳时机和持续时间。我们基于随机易感-暴露-感染-清除模型构建了一个新模型来描述每个班级的流感发病率。我们收集了日本一个城市四所高中因流感导致的感染缺勤人数、特定班级学校关闭情况以及三个季节(2016 - 2017年、2017 - 2018年和2018 - 2019年)社区感染病例数的数据。模型中的参数使用疫情数据进行估计。我们通过测量每天因班级关闭导致的累计发病率降低情况来评估针对特定班级的学校关闭策略的效果。在为期四天的班级关闭中观察到每天累计缺勤人数减少最多。当针对特定班级的学校关闭持续四天时,关闭时间越早,每个班级关闭日的感染累计数减少得越多。当阈值约为5.0%时,每人每天的班级关闭次数减少最多。由于随机因素,累计发病率降低情况存在很大差异。当新感染学生的百分比超过约5.0%且关闭持续时间为四天时,针对季节性流感的反应性、特定班级学校关闭最为有效。针对特定班级的学校关闭的最佳策略具有良好的长期效果,但可能会受到随机变化的影响。