Use of fuzzy sets, aggregation operators and multi agent systems to simulate COVID-19 transmission in a context of absence of barrier gestures and social distancing - application to an island region.

In this paper, we present a model of Covid-19 pandemic spreading simulated by a multi-agent system and using fuzzy sets. This paper focuses on two risk factors: age and body mass index. By using real data of people from French West Indies, we model the rate of risky population could be critical cases, if neither social distancing nor barrier gestures are respected. The results show that hospital capacities are exceeded.