Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review.

Combining real-world data and Big Data with machine learning methods is a promising approach to improve dengue prediction and monitoring. Future studies should focus on how to better integrate all available data sources and methods to improve the response and dengue management by stakeholders.