Big data analytics enables epidemiologists to process vast amounts of health-related information from diverse sources, such as electronic health records, social media, and environmental sensors. By employing machine learning algorithms and other computational techniques, researchers can uncover patterns and trends that would be impossible to detect manually. This approach is particularly useful for predicting disease outbreaks and understanding complex interactions between various risk factors.
