Data diversification in epidemiology refers to the practice of gathering and using a wide variety of data sources, types, and formats to comprehensively understand the distribution and determinants of health-related states and events in specific populations. This approach enhances the robustness and accuracy of epidemiological studies by incorporating multiple perspectives and minimizing biases.