15 citations · 25 across the 4 of their papers we have counts for
3 papers · 1 filter
Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil
Katherine Kempfert, Kaitlyn Martinez, Amir Siraj +8
Predicting an infectious disease can help reduce its impact by advising public health interventions and personal preventive measures. Novel data streams, such as Internet and socia…
Multiscale Influenza Forecasting
Dave Osthus, Kelly R Moran
Influenza forecasting in the United States (US) is complex and challenging for reasons including substantial spatial and temporal variability, nested geographic scales of forecast…
Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy
Dave Osthus, James Gattiker, Reid Priedhorsky +1
Timely and accurate forecasts of seasonal influenza would assist public health decision-makers in planning intervention strategies, efficiently allocating resources, and possibly s…