Simulation-based evaluation of school reopening strategies during COVID-19: A case study of Sao Paulo, Brazil.

ABSTRACT: During the coronavirus disease 2019 (COVID-19) pandemic, many countries opted for strict public health measures, including closing schools. After some time, they have started relaxing some of those restrictions. To avoid overwhelming health systems, predictions for the number of new COVID-19 cases need to be considered when choosing a school reopening strategy. Using a computer simulation based on a stochastic compartmental model that includes a heterogeneous and dynamic network, we analyse different strategies to reopen schools in the São Paulo Metropolitan Area, including one similar to the official reopening plan. Our model allows us to describe different types of relations between people, each type with a different infectiousness. Based on our simulations and model assumptions, our res

SUBMITTER: Cruz EHM 

PROVIDER: S-EPMC8134889 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature