What Methods are Used for Epidemiological Predictions?

Various methods and models are used to make epidemiological predictions, including:
1. Statistical Models: These include regression models, time-series analysis, and survival analysis. They use historical data to identify trends and make forecasts.
2. Mathematical Models: These are more complex and include deterministic models like the SIR (Susceptible, Infected, Recovered) model and stochastic models that incorporate randomness.
3. Machine Learning: Advanced techniques such as machine learning and artificial intelligence (AI) are increasingly being used for more accurate and real-time predictions.
4. Geospatial Analysis: This involves mapping and analyzing spatial data to understand the geographic distribution of diseases.