Proper calibration of epidemiological models has significant implications for public health:
Accurate Predictions: Well-calibrated models provide accurate predictions, aiding in early detection and prevention of diseases. Resource Allocation: Calibration ensures that resources are allocated efficiently, targeting high-risk populations or areas with greater accuracy. Policy Making: Reliable models inform evidence-based policy decisions, leading to effective public health interventions. Health Outcomes: Ultimately, calibrated models contribute to improved health outcomes by guiding appropriate interventions and preventive measures.