In epidemiology, data validation is essential because it helps in identifying [data quality](https://) issues such as errors, inconsistencies, and missing values. High-quality data is fundamental for accurate disease surveillance, understanding [disease patterns](https://), and making informed public health decisions. Invalid data can lead to incorrect conclusions, affecting public health policies and interventions.
