Planning of School Teaching during COVID-19
Alberto Gandolfi

TL;DR
This paper develops a mathematical model to optimize school opening strategies during COVID-19, balancing infection control with educational needs, and finds blended schedules to be most effective.
Contribution
It introduces a SEAIR epidemic model with an external infection source and uses simulated annealing to identify optimal hybrid school schedules during the pandemic.
Findings
Blended in-person and remote schedules are generally optimal.
Optimal strategies can significantly reduce COVID-19 case increases.
Prototypical example shows a 66% increase in cases with optimal strategy versus 250% with full opening.
Abstract
More than one billion students are out of school because of Covid-19, forced to a remote learning that has several drawbacks and has been hurriedly arranged; in addition, most countries are currently uncertain on how to plan school activities for the 2020-2021 school year; all of this makes learning and education some of the biggest world issues of the current pandemic. Unfortunately, due to the length of the incubation period of Covid-19, full opening of schools seems to be impractical till a vaccine is available. In order to support the possibility of some in-person learning, we study a mathematical model of the diffusion of the epidemic due to school opening, and evaluate plans aimed at containing the extra Covid-19 cases due to school activities while ensuring an adequate number of in-class learning periods. We consider a SEAIR model with an external source of infection and a…
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