In epidemiology, computational linguistics can be used to track and predict the spread of diseases, identify risk factors, and improve public health surveillance. For instance, natural language processing (NLP) techniques can analyze social media posts to detect early signs of an outbreak. This real-time data can then be used to inform public health interventions and policies.