Several elements contribute to data quality in epidemiology:
Accuracy: Ensuring the data correctly represents the phenomenon being studied. Precision: The degree to which repeated measurements under unchanged conditions show the same results. Completeness: The extent to which all required data is collected. Consistency: The degree of uniformity between different data sets and within the same data set over time. Timeliness: The data should be current and collected in a timely manner to be relevant.
