Data anonymization is a technique used to remove or obscure personal identifiers from data sets, making it difficult to trace the data back to individual subjects. This process helps protect privacy while allowing researchers to analyze data for epidemiological purposes. Common methods include data masking, pseudonymization, and aggregation.
