The construction of epidemic models involves several steps:
1. Data Collection: Gather epidemiological data on the disease, including case counts, recovery rates, and contact patterns. 2. Model Selection: Choose an appropriate model based on the disease characteristics and available data. 3. Parameter Estimation: Use statistical methods to estimate the parameters of the model. 4. Simulation: Run the model to simulate disease spread under various scenarios. 5. Validation: Compare the model predictions with real-world data to assess accuracy. 6. Optimization: Adjust the model parameters to improve accuracy and reliability.
