Data completeness refers to the extent to which all necessary and required data points are collected and available in an epidemiological study. Incomplete data can lead to biased results, misinterpretation, and poor decision-making in public health. Ensuring high levels of data completeness is crucial for accurate analysis and effective interventions.
