Managing school interaction networks during the COVID-19 pandemic: Agent-based modeling for evaluating possible scenarios when students go back to classrooms

The most unexpected and toughest phenomenon that has occurred in recent times is the global COVID-19 pandemic. One of the first measures to prevent the spread of the disease was to close educational institutions. The students were forced to start a learning process through social networks and web pl...

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Veröffentlicht in:PloS one 2021-08, Vol.16 (8), p.e0256363-e0256363, Article 0256363
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description The most unexpected and toughest phenomenon that has occurred in recent times is the global COVID-19 pandemic. One of the first measures to prevent the spread of the disease was to close educational institutions. The students were forced to start a learning process through social networks and web platforms. In some countries, a return to face-to-face classes was established. However, weeks later, some of them had to return to virtual activities due to an upswing in the COVID-19 cases. In Mexico, classes have been held virtually, with face-to-face activities only re-established in two of the 32 states. In our state, Yucatan, scholarly activities are still virtual. In this work, the dispersion of COVID-19 at different academic establishments in Yucatan was simulated. Networks of Friendship, noncordial treatment, family ties and study groups were considered. Based on these networks, we evaluated the possibility of returning to school without inducing a rebound in the COVID-19 cases in the state. Agent-based simulations were used, with each student as an agent. Interaction rules were established based on international research regarding good practices in times of COVID-19. We used seven networks from different academic institutions, ranging from primary through college level. As a result, possible contagion curves were obtained for different scenarios, which leads to a discussion about the measures that would be relevant once a return to face-to-face classes is overseen. Simulations show that isolating students and reducing the number of students in the same classroom are good strategies and substantially reduce the possible contagiousness.
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subjects Agent-based models
Asymptomatic
Biology and Life Sciences
Classrooms
Colleges & universities
Computer and Information Sciences
Coronaviruses
COVID-19
COVID-19 - epidemiology
COVID-19 - prevention & control
Disease control
Disease transmission
Educational aspects
Evaluation
Friendship
Health aspects
Humans
Medicine and Health Sciences
Mexico - epidemiology
Multidisciplinary Sciences
Pandemics
Pandemics - prevention & control
Physical Sciences
Research and Analysis Methods
Schools
Science & Technology
Science & Technology - Other Topics
Science Policy
Siblings
Simulation
Social aspects
Social discrimination learning
Social Networking
Social networks
Social organization
Social Sciences
Students
Students, Medical - psychology
Systems Analysis
Universities
Variables
title Managing school interaction networks during the COVID-19 pandemic: Agent-based modeling for evaluating possible scenarios when students go back to classrooms
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