The importance of enhanced data integration lies in its ability to improve the accuracy of disease surveillance, provide insights into complex public health problems, and support evidence-based decision-making. By integrating various datasets, epidemiologists can identify correlations and trends that would be difficult to detect using isolated data sources. This holistic approach is crucial for understanding multifactorial health issues and for the development of targeted interventions.