A Framework for Evaluating the Use of Surveillance Systems for Short-Term Influenza Forecasting.
Journal:
Influenza and other respiratory viruses
Published Date:
Aug 1, 2025
Abstract
BACKGROUND: Public health surveillance systems need to monitor influenza activity and guide measures to mitigate its high impact on morbidity, mortality and healthcare systems. There is an increasing expectation that surveillance data will support the modeling of future short-term disease scenarios using artificial intelligence (AI) and machine learning (ML). This study examines how influenza surveillance can support AI/ML-based short-term forecasting for influenza at the community and hospital levels in a high-income country setting (Aotearoa/New Zealand).
