Explore the capabilities and limitations of mathematical models in understanding disease spread in this lecture by Sandeep Krishna. Delve into the complex world of epidemiological modeling, examining how these tools can provide valuable insights into the dynamics of infectious diseases while also recognizing their constraints. Learn to critically evaluate the predictions and assumptions of mathematical models, gaining a nuanced understanding of their role in public health decision-making and disease control strategies. Discover how models can be used to simulate various scenarios, predict outbreak trajectories, and inform intervention strategies, while also understanding the importance of incorporating real-world data and uncertainties into these models.