Modelling the spread of covid-19 in the capital of Brazil using numerical solution and cellular automata.

ABSTRACT: The novel coronavirus disease 2019 (COVID-19) still challenges researchers due to its spread and deaths. Hence, the classical epidemic SIR and SEIRD models inspired by the epidemic's outbreak are widely used to predict the evolution of the disease. In addition to classical approaches, describing complex phenomena through Cellular Automata (CA) is a highly effective way to understand the iterations on a populated system. The present research analyzed the usage of CA to generate an epidemic-computational model from a micro perspective based on parameters obtained through a statistical fit from a macro perspective. After validating SIR and SEIRD models with the government official data for Brasilia, Brazil, the authors applied the obtained parameters to the Cellular Automata model. The CA mod

SUBMITTER: Cavalcante ALB 

PROVIDER: S-EPMC8323506 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature