Predictive modeling is a key feature of DSS, enabling epidemiologists to forecast future disease trends based on historical data and current conditions. These models use statistical techniques and machine learning algorithms to predict the likelihood of disease outbreaks. This information is invaluable for planning public health interventions and resource allocation.
