Amalie Dyda

Enhancing influenza surveillance in Australia using Google search data combined with machine learning.

Background To effectively respond to acute respiratory infections such as influenza, timely information about the spread of disease is required. Surveillance methods that train machine learning models on Google Trends data have been developed to forecast outbreaks. Our aim was to examine the feasibility of forecasting...