Why is Data Integration Important in Epidemiology?
Data integration is essential in epidemiology because it allows researchers to compile and analyze information from various sources. These sources can include hospital records, lab results, surveys, and more. By integrating data, epidemiologists can identify patterns and trends, assess risk factors, and evaluate the effectiveness of interventions.
