Data analysis is a cornerstone of epidemiological research. Automated systems can handle large datasets far more efficiently than humans. Machine learning algorithms and artificial intelligence (AI) can identify patterns and correlations that might be missed by manual analysis. These technologies can also predict future trends, helping public health officials to prepare and respond more effectively.