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 · 323 citations · Full text

Public Health, Infectious Disease Control, Infectious Diseases +17

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 · 320 citations · Full text

Business, Risk Management, Epidemiology +16

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 · 238 citations · Full text

Veterinary Medicine, Infectious Diseases, Epidemiology +16

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

Sen Pei, Teresa K. Yamana, Sasikiran Kandula et al. · Nature · 2021 · 205 citations · Full text

Public Health, Infectious Disease Control, Infectious Diseases +12

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 · 199 citations · Full text

Computing, Infectious Disease Control, Infectious Diseases +17