Data matching in epidemiology faces several challenges, including:
Data quality: Discrepancies in data quality can lead to incorrect matches. Privacy concerns: Ensuring data privacy and confidentiality is crucial, especially when dealing with sensitive health information. Technical issues: Differences in data formats, coding systems, and terminologies can complicate data matching efforts. Missing data: Incomplete records can hinder accurate matching.
