Um Sistema de Simulação de Epidemias Utilizando Sistemas Multiagentes

Abstract

RESUMOThe virus SARS-CoV-2 caused a pandemic that started in 2019, ithas crowded hospitals, and caused millions of deaths around theworld. This disease has promoted an immeasurable impact on people’slives. One of the most important aspects of combating anepidemic is to understand how the virus is transmitted, and howfast it propagates through the environment, considering the largenumber of variables involved that can be observed by scientificmethods. Aiming to provide this understanding, in this work, wepropose an epidemic simulation system, focusing on the COVID-19scenario, implemented using multi-agent systems. The epidemicsimulation system is based on the well-known SIR transmissionmodel. Also, to evaluate the proposed simulation system, we tookinto consideration the main causes pointed out by the MundialHealth Organization about the transmission of COVID-19, simulatingdifferent scenarios related to the pandemic, validating theimplementation of the simulation system.