1. Data Collection: Gathering data on the population, including demographics, social behaviors, and existing health conditions. 2. Model Selection: Choosing an appropriate mathematical model to represent the disease dynamics. Common models include the SIR (Susceptible-Infectious-Recovered) model and the SEIR (Susceptible-Exposed-Infectious-Recovered) model. 3. Parameter Estimation: Determining key parameters such as the basic reproduction number (R0), incubation period, and recovery rate. 4. Simulation Execution: Running the model using computer software to simulate the spread of the disease over time. 5. Analysis and Interpretation: Analyzing the results to draw conclusions and make recommendations.
