Dave Osthus

A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States

Nicholas G Reich, Logan Brooks, Spencer J. Fox et al. · Proceedings of the National Academy of Sciences · 2019 · 297 citations · Full text

Forecasting Methodology, Strain Selection, Computational Epidemiology +21

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Estee Y. Cramer, Evan L Ray, Velma K. Lopez et al. · Proceedings of the National Academy of Sciences · 2022 · 296 citations · Full text

Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.

Nicholas G Reich, Craig McGowan, Teresa K. Yamana et al. · PLoS Computational Biology · 2019 · 185 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +21

Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S.

Evan L Ray, Nutcha Wattanachit, Jarad Niemi et al. · 2020 · 179 citations · Full text

Forecasting Methodology, Virus Epidemiology, Covid-19 Epidemiology +19

Forecasting seasonal influenza with a state-space SIR model

Dave Osthus, Kyle S. Hickmann, Petruţa C. Caragea et al. · The Annals of Applied Statistics · 2017 · 164 citations · Full text