Data inconsistencies refer to errors or discrepancies in the data collected during epidemiological studies. These inconsistencies can arise from various sources, including measurement errors, data entry mistakes, or inconsistencies in data collection methods. Addressing data inconsistencies is crucial for ensuring the reliability and validity of epidemiological research.
