Data suppression refers to the practice of intentionally omitting or obscuring certain information from datasets. This method is often employed to protect the privacy of individuals, especially in small populations where identifying individuals could be easier. In the context of epidemiology, data suppression is crucial to ensure that sensitive health-related information remains confidential.
