By integrating multiple data sources, epidemiologists can cross-validate findings and reduce the risk of bias. For instance, clinical data can be complemented with survey data to understand the socio-economic context of patients. Similarly, environmental data can be used alongside genomic data to study the interaction between genes and the environment in disease manifestation.
