Signal detection in epidemiology faces several challenges:
1. Data Quality: Poor data quality, including missing or inaccurate data, can hinder the effectiveness of signal detection. 2. False Positives and Negatives: Balancing sensitivity and specificity is critical to minimize false alarms and missed signals. 3. Timeliness: Rapid detection is essential, but it requires efficient data collection and processing systems. 4. Resource Constraints: Limited resources can affect the ability to implement and maintain effective surveillance systems.
