Data inconsistency in epidemiology refers to the presence of discrepancies or contradictions in data collected for research or public health purposes. This can manifest as conflicting information, gaps, or errors in datasets. Such inconsistencies can compromise the validity of epidemiological studies, leading to unreliable conclusions and potentially flawed public health interventions.
