Enhancing epidemic management: agent-based simulation and remote diagnosis

The objective of this work is to analyze the spread of contagious diseases using a multi-agent simulation and a remote diagnostic system. The simulation is carried out using information on patients and the environment. The novelty of this work lies in proposing a new agent architecture that combines both independent and random behavior to better simulate individuals in the real world. We have proposed two communication methods between the agents either by a direct exchange of messages or by placing objects in a common space. The various simulations have enabled the prediction of the time required to transition from a normal state to a critical condition. A comparative study between the proposed diagnostic method and alternative techniques has demonstrated its superiority in accuracy.