Unlocking the Predictive Power of Heterogeneous Data to Build an Operational Dengue Forecasting System
Carrie A Manore, Geoffrey Fairchild, Amanda Ziemann, Nidhi Parikh, Katherine Kempfert, Kaitlyn Martinez, Lauren Castro, David Osthus, Amir Siraj, Jessica Conrad, E Nicholas Generous, Sara Del Valle
This study combines multiple data streams to predict dengue incidence across Brazil's states, showing that predictive performance varies by state and benefits from using diverse data sources.
bioRxiv · Jul 8, 2020 · PreprintEcology