A structural approach to tracking the spread of the SARS-CoV-2 pandemic in educational settings

Samrajyam Singu

Abstract


School reopening is one of the most challenging decisions that managers in the public sector have to make as a result of the COVID-19 epidemic. In this article, a microsimulation model of the pandemic course is shown, taking into account numerous conditions inside the walls of a classroom in Belo Horizonte, Brazil. To achieve this, a susceptible-infectious-recovered (SIR) model that links epidemiological traits to sociometric and sociodemographic variables was combined with a random graph model. For the city of Belo Horizonte, social contact rates from the Brazilian POLYMOD project were modified to replicate the amount of encounters between people while taking a Poisson distribution into account.

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