Data linkage is crucial in epidemiology for several reasons:
Enhanced Data Quality: Combining data from multiple sources can improve the accuracy and completeness of information. Comprehensive Analysis: Linked data allows researchers to examine relationships between different variables more thoroughly, leading to more insightful conclusions. Resource Efficiency: It reduces the need for repetitive data collection, saving time and resources. Improved Public Health Interventions: More detailed data enables better-targeted public health interventions and policies.
