1 citations · 2 across the 3 of their papers we have counts for
3 papers
Does Spatial Information Improve Influenza Forecasting?
Gabrielle Thivierge, Aaron Rumack, F. William Townes
Seasonal influenza forecasting is critical for public health and individual decision making. We investigate whether the inclusion of data about influenza activity in neighboring st…
Correcting for heterogeneity in real-time epidemiological indicators
Aaron Rumack, Roni Rosenfeld, F. William Townes
Auxiliary data sources have become increasingly important in epidemiological surveillance, as they are often available at a finer spatial and temporal resolution, larger coverage,…
Parity Calibration
Youngseog Chung, Aaron Rumack, Chirag Gupta
In a sequential regression setting, a decision-maker may be primarily concerned with whether the future observation will increase or decrease compared to the current one, rather th…