Using multiple models allows epidemiologists to cross-validate findings and gain a more robust understanding of disease dynamics. For instance, while compartmental models provide a broad overview, agent-based models can offer detailed insights into specific scenarios. Statistical models can validate these insights with real-world data, and network models can explain transmission patterns within specific communities.
