Lessons learned from real-time nowcasting: The 2024 dengue outbreak in Puerto Rico
This paper demonstrates that applying Nowcasting by Bayesian Smoothing (NobBS) to the 2024 dengue outbreak in Puerto Rico effectively mitigated reporting delays to accurately track transmission dynamics, while highlighting that joint parameter estimation improves performance for sparse data and stable reporting patterns are crucial for reliable real-time public health nowcasting.