A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil.

ABSTRACT: Background and objective Many countries around the world experienced a high increase in the number of COVID-19 cases after a few weeks of the first case, and along with it, excessive pressure on the healthcare systems. While medicines, drugs, and vaccines against the COVID-19 are being developed, social isolation has become the most used method for controlling the virus spreading. With the social isolation, authorities aimed to slow down the spreading, avoiding saturation of the healthcare system, and allowing that all critical COVID-19 cases could be appropriately treated. By tuning the proposed model to fit Brazil's initial COVID-19 data, the objectives of the paper are to analyze the impact of the social isolation features on the population dynamics; simulate the number of deaths due to

SUBMITTER: Schimit PHT 

PROVIDER: S-EPMC7836885 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature