There have been several successful applications of deep learning in epidemiology:
Disease Outbreak Prediction: Models have been developed to predict outbreaks of diseases like influenza and COVID-19 by analyzing social media data and search engine queries. Genomic Epidemiology: Deep learning has been used to analyze genomic sequences to track the evolution of pathogens and identify mutations that may affect transmissibility or virulence. Healthcare Resource Allocation: Predictive models have been employed to optimize the allocation of healthcare resources, such as ventilators and hospital beds, during pandemics.
