High-quality data and seamless data integration are crucial for the effectiveness of epidemiological algorithms. Algorithms rely on accurate, timely, and comprehensive data to make reliable predictions and recommendations. Integrated data from multiple sources, such as electronic health records, laboratory reports, and population surveys, provide a more complete picture of health trends and disease dynamics.
