Forecasting Dengue Fever in Brazil Using Multimodal Data, Including Climate Data
David Danko, Charles J Vörösmarty, Anthony Daniel Cak, Fabio Corsi, Suraj J. Patel, John C Papciak, Heather Wells, Anthony Albanese, Christopher E. Mason, Rafael Maciel‐de‐Freitas, Dorottya Nagy‐Szakal, Niamh B. O’Hara
This paper introduces a dengue fever forecasting model for Brazil using multimodal data, achieving accurate monthly predictions up to 6 months ahead.
bioRxiv · Mar 12, 2024 · PreprintBioinformatics