Data analytics is indispensable in epidemiology. Advanced analytical techniques, such as predictive modeling and machine learning, allow for the early identification of potential safety issues. These tools can analyze large datasets to predict outbreaks, identify at-risk populations, and evaluate the effectiveness of interventions, thereby informing evidence-based decision-making.
