Computational epidemiology integrates data from various sources such as electronic health records, social media, and population surveys. Using these data, researchers develop models to simulate disease transmission dynamics. These models help predict future outbreaks, assess the impact of interventions, and identify risk factors. Advanced techniques like machine learning and artificial intelligence are often employed to enhance the accuracy of these models.