Big data encompasses vast amounts of information collected from diverse sources, including electronic health records, social media, and genomic databases. In epidemiology, big data enables researchers to identify trends, predict outbreaks, and assess the effectiveness of interventions. Advanced algorithms and machine learning models can analyze these large datasets to uncover patterns that would be impossible to detect manually.
