What are the Key Components of Epidemic Forecasting?
The key components of epidemic forecasting include:
1. Data Collection: High-quality and timely data on disease incidence, population demographics, and intervention measures. 2. Mathematical Models: Use of various models such as statistical, mechanistic, and machine learning models to predict disease dynamics. 3. Parameter Estimation: Accurate estimation of model parameters like transmission rates, incubation periods, and recovery rates. 4. Validation and Calibration: Ensuring the model's predictions align with real-world data through continuous validation and calibration.
