Traditional dengue control relies on vector control and case reporting, which can be slow and often underestimates the disease burden, especially in smaller regions like Martinique.
This study investigates the use of diverse data sources, including hospitalization records and Google Trends, to improve dengue tracking and reduce reporting delays on the island.
Findings indicate that real-world data can enhance dengue surveillance, as certain indicators, like hospitalization rates, show strong correlations with dengue outbreaks, allowing for earlier detection of rising case numbers.