Unraveling the Geography of Infection Spread: Harnessing Super-Agents for Predictive Modeling

Our study introduces "super-agents" to bridge the gap between Agent-Based Models (ABMs) and compartmental models, enhancing disease spread simulations with individual-level interactions. By combining ABM and geography, our research offers a novel perspective on infectious disease modeling for diverse scenarios.