15 citations · 19 across the 2 of their papers we have counts for
4 papers
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…
Estimating influenza incidence using search query deceptiveness and generalized ridge regression
Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard +2
Seasonal influenza is a sometimes surprisingly impactful disease, causing thousands of deaths per year along with much additional morbidity. Timely knowledge of the outbreak state…
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…