Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution

  1. John Huddleston  Is a corresponding author
  2. John R Barnes
  3. Thomas Rowe
  4. Xiyan Xu
  5. Rebecca Kondor
  6. David E Wentworth
  7. Lynne Whittaker
  8. Burcu Ermetal
  9. Rodney Stuart Daniels
  10. John W McCauley
  11. Seiichiro Fujisaki
  12. Kazuya Nakamura
  13. Noriko Kishida
  14. Shinji Watanabe
  15. Hideki Hasegawa
  16. Ian Barr
  17. Kanta Subbarao
  18. Pierre Barrat-Charlaix
  19. Richard A Neher
  20. Trevor Bedford  Is a corresponding author
  1. University of Washington, United States
  2. Centers for Disease Control and Prevention (CDC), United States
  3. The Francis Crick Institute, United Kingdom
  4. The Francis Crick Insitute, United Kingdom
  5. National Institute of Infectious Diseases, Japan
  6. National Instituite of Infectious Diseases, Japan
  7. Peter Doherty Institute for Infection and Immunity, United States
  8. Peter Doherty Institute for Infection and Immunity, Australia
  9. University of Basel, Switzerland
  10. Fred Hutchinson Cancer Research Center, United States
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  1. John Huddleston
  2. John R Barnes
  3. Thomas Rowe
  4. Xiyan Xu
  5. Rebecca Kondor
  6. David E Wentworth
  7. Lynne Whittaker
  8. Burcu Ermetal
  9. Rodney Stuart Daniels
  10. John W McCauley
  11. Seiichiro Fujisaki
  12. Kazuya Nakamura
  13. Noriko Kishida
  14. Shinji Watanabe
  15. Hideki Hasegawa
  16. Ian Barr
  17. Kanta Subbarao
  18. Pierre Barrat-Charlaix
  19. Richard A Neher
  20. Trevor Bedford
(2020)
Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution
eLife 9:e60067.
https://doi.org/10.7554/eLife.60067