Teresa K. Yamana

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

An open challenge to advance probabilistic forecasting for dengue epidemics

Michael A. Johansson, Karyn M. Apfeldorf, Scott Dobson et al. · Proceedings of the National Academy of Sciences · 2019 · 231 citations · Full text

Burden and characteristics of COVID-19 in the United States during 2020

Sen Pei, Teresa K. Yamana, Sasikiran Kandula et al. · Nature · 2021 · 202 citations · Full text

Infectious Disease Epidemiology, Virus Epidemiology, Emerging Infectious Diseases +10

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