Data integration combines data from different sources into a single, coherent dataset. This is particularly important in epidemiology where data may come from multiple sources such as hospitals, laboratories, and public health agencies. Integration techniques include merging datasets, linking records through unique identifiers, and resolving discrepancies between different data sources.
