Completeness refers to the extent to which all relevant cases or data have been captured in a study or surveillance system. Incomplete data can lead to biased results and misleading conclusions. It is especially important in disease surveillance and outbreak investigations where missing data can hinder the ability to control and prevent the spread of infectious diseases.
