The advent of big data has revolutionized the study of complexity in epidemiology. Large datasets from various sources (e.g., electronic health records, social media, environmental sensors) allow for more comprehensive analyses of the factors influencing health. Advanced analytical techniques, such as machine learning, help in identifying patterns and predicting outcomes in these complex systems.
