Data matching in epidemiology helps in multiple ways:
Improving data quality: By linking datasets, researchers can fill in missing information and correct errors. Comprehensive analysis: Combining data from multiple sources provides a more comprehensive view of the health issue being studied. Enhanced tracking: Accurate data matching enables better tracking of disease incidence and prevalence over time and across different populations. Resource optimization: Efficient data matching can help allocate public health resources more effectively by identifying areas in need of intervention.
