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stat.AP2026
Collaborative estimation and evaluation of SARS-CoV-2 variant nowcasting in the United States
Isaac MacArthur, Thomas Robacker, Bren Case +27
The ability to estimate and predict pathogen variant dynamics can inform public health responses, including planning for increased transmission or severity, shifts in population im…
stat.AP2026
Comparison of probabilistic nowcasts and forecasts of SARS-CoV-2 variant proportions made by hierarchical multinomial linear regression models
Isaac MacArthur, Thomas Robacker, Evan L. Ray +3
Nowcasting and forecasting of infectious diseases have become increasingly important since the SARS-CoV-2 pandemic. In particular, methods for modeling the composition of circulati…
stat.AP2023★ 1 cited
Mixture distributions for probabilistic forecasts of disease outbreaks
Spencer Wadsworth, Jarad Niemi, Nick Reich
Collaboration among multiple teams has played a major role in probabilistic forecasting events of influenza outbreaks, the COVID-19 pandemic, other disease outbreaks, and in many o…