Multi-Agent Simulation Dengue Transmission Model

This work describes a Multi-Agent-Based Simulation (MABS) for modeling dengue transmission in urban areas. The simulation integrates geospatial data to locate agents and uses compartmental theory to define their epidemiological states. Experiments are conducted to assess the model's sensitivity in the municipality of Alto Santo (Ceará, Brazil), varying parameters such as mosquito mortality and oviposition rates, number of breeding sites, and fogging strategies. The results show that continuous vector control interventions are effective in reducing the number of cases. The developed tool proves to be promising in supporting decision-making in small and medium-sized cities by optimizing resource allocation and the effectiveness of control actions.