Several methods are used for disease prediction, including:
1. Statistical Models: These models use historical data to identify patterns and trends in disease occurrence. 2. Machine Learning: Advanced algorithms can analyze large datasets to predict disease outbreaks with high accuracy. 3. Simulation Models: These models simulate the spread of diseases under various scenarios to predict future cases. 4. Time Series Analysis: This method examines data points collected or recorded at specific time intervals to predict future values.
