In the context of epidemiology, minimizing performance overhead is essential for several reasons: 1. Timeliness: Rapid analysis and response are critical during outbreaks to prevent further transmission. 2. Resource Allocation: Efficient use of computational and human resources ensures that more efforts can be directed towards intervention strategies. 3. Accuracy: Reducing overhead can help maintain the quality and accuracy of epidemiological models, leading to more reliable predictions and interventions.
