Data quality in epidemiology is crucial as it forms the basis for understanding the distribution and determinants of health-related states in specific populations. High-quality data is essential for identifying risk factors, monitoring the burden of diseases, and evaluating the effectiveness of public health interventions. Poor data quality can lead to incorrect conclusions, misallocation of resources, and ineffective policies.
