Model fitting in epidemiology refers to the process of adjusting a mathematical or statistical model so that it best describes the real-world data related to the spread of diseases. This process is crucial for understanding the dynamics of infectious diseases, predicting future outbreaks, and evaluating the impact of interventions.
