Multi-agent simulation of Coronavirus contamination on public transport

Resumo

Since the beginning of 2020, we are experiencing a worldwide pandemic of the coronavirus. Since then, health
authorities around the world have tried to prevent people from infecting themselves with this virus. In Brazil, states and
cities plan and take decisions to restrict movement or release some activities to return to normal operation. As noted, these
are decisions that can, on the one hand, harm the economy and the citizen's interpersonal relationships and, on the other,
lead to overcrowding of hospitals, health chaos and more deaths. For this work, a computer simulator was developed where,
together with a mathematical model and multi-agent systems, it was sought to show contamination situations in real
environments. The simulator has an interface where it is possible to visualize people moving in a pre-established
environment. The objective of this work is to add to the studies already in progress, bringing more data and information
that can help to improve policies and actions to combat the pandemic.