Computational epidemiology is an interdisciplinary field that applies computational methods, models, and simulations to study and analyze the spread of infectious diseases and other public health issues. It combines principles from epidemiology, mathematics, computer science, and statistics to understand how diseases propagate through populations, to forecast outbreaks, and to inform public health interventions. Key aspects of computational epidemiology include: 1. **Modeling Disease Spread**: Using mathematical and computational models to simulate how diseases spread in populations over time.
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