Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples

• Main Authors: Chelsea S. Lutz (Author), Mimi P. Huynh (Author), Monica Schroeder (Author), Sophia Anyatonwu (Author), F. Scott Dahlgren (Author), Gregory Danyluk (Author), Danielle Fernandez (Author), Sharon K. Greene (Author), Nodar Kipshidze (Author), Leann Liu (Author), Osaro Mgbere (Author), Lisa A. McHugh (Author), Jennifer F. Myers (Author), Alan Siniscalchi (Author), Amy D. Sullivan (Author), Nicole West (Author), Michael A. Johansson (Author), Matthew Biggerstaff (Author)
• Format: Book
• Published: BMC, 2019-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Infectious disease forecasting aims to predict characteristics of both seasonal epidemics and future pandemics. Accurate and timely infectious disease forecasts could aid public health responses by informing key preparation and mitigation efforts. Main body For forecasts to be fu...