Data quality in epidemiology is evaluated based on several components:
Accuracy: The data should correctly represent the information it is intended to capture. Completeness: All necessary data should be collected without any missing information. Consistency: Data should be consistent across different datasets and time points. Timeliness: Data should be collected and made available promptly to inform timely decision-making. Reliability: The data collection process should yield similar results under consistent conditions.
