Simulation results for 25 class closure patterns.

<p>A: Cumulative number of infected students. B: Total class closures, calculated as class-days. C: Total class closures, calculated as person-days. D: Reduction in absent students per day of class closure. Simulations were performed with five different start times for class closures, based on...

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Bibliographic Details
Main Author:	Yukiko Masumoto (20606201) (author)
Other Authors:	Hiromi Kawasaki (8105408) (author), Ryota Matsuyama (1899115) (author), Miwako Tsunematsu (4062691) (author), Masayuki Kakehashi (837535) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified preventing infectious diseases 2016 &# 8211 specific school closures prolonged school closures 2018 &# 8211 2017 &# 8211 reduced cumulative incidence study evaluated class prevent disease spread four high schools day class closure school closures day occurred cumulative incidence class based timed earlier three seasons term performance stochastic susceptible stochastic factors parameters included optimizing timing optimal timing optimal strategy noted owing negative impact large variations japanese city important strategy fully demonstrated four days collected data around 5 2019 ). 0 %. 0 %,
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Simulation results for 25 class closure patterns.

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