Why is Statistical Modeling Important in Epidemiology?
Statistical modeling is crucial in epidemiology for several reasons:
Prediction: Models can forecast the future spread of diseases and the potential impact of interventions. Policy Making: Provides evidence-based information for public health policies and resource allocation. Understanding Disease Dynamics: Helps in understanding how diseases spread and identifying key factors that influence their transmission. Evaluation: Assesses the effectiveness of public health interventions and measures their impact on health outcomes.
