Several modeling techniques are employed in predicting outbreaks:
Statistical Models: These use historical data to find patterns and make predictions. Mathematical Models: Such as the SIR (Susceptible, Infected, Recovered) model, which describes the spread of diseases. Machine Learning Models: Advanced algorithms that can handle large datasets and find complex patterns.
