Big data and analytics have become indispensable in epidemiology. The ability to process vast amounts of data from diverse sources allows for more accurate trend analysis and prediction of disease outbreaks. Advanced analytics techniques, including machine learning and artificial intelligence, help identify patterns and correlations that were previously undetectable. This enables epidemiologists to make data-driven decisions and implement targeted interventions.
