2 citations · 3 across the 3 of their papers we have counts for
5 papers
Comparison of Combination Methods to Create Calibrated Ensemble Forecasts for Seasonal Influenza in the U.S
Nutcha Wattanachit, Evan L. Ray, Thomas C. McAndrew +1
The characteristics of influenza seasons varies substantially from year to year, posing challenges for public health preparation and response. Influenza forecasting is used to info…
Chimeric forecasting: combining probabilistic predictions from computational models and human judgment
Thomas McAndrew, Allison Codi, Juan Cambeiro +5
Forecasts of the trajectory of an infectious agent can help guide public health decision making. A traditional approach to forecasting fits a computational model to structured data…
The sleep loss insult of Spring Daylight Savings in the US is absorbed by Twitter users within 48 hours
Kelsey Linnell, Thayer Alshaabi, Thomas McAndrew +3
Sleep loss has been linked to heart disease, diabetes, cancer, and an increase in accidents, all of which are among the leading causes of death in the United States. Population-sca…
Aggregating predictions from experts: a scoping review of statistical methods, experiments, and applications
Thomas McAndrew, Nutcha Wattanachit, G. Casey Gibson +1
Forecasts support decision making in a variety of applications. Statistical models can produce accurate forecasts given abundant training data, but when data is sparse, rapidly cha…
Adaptively stacking ensembles for influenza forecasting with incomplete data
Thomas McAndrew, Nicholas G. Reich
Seasonal influenza infects between 10 and 50 million people in the United States every year, overburdening hospitals during weeks of peak incidence. Named by the CDC as an importan…