Forecasting influenza epidemics in Hong Kong using multiple streams of syndromic and laboratory surveillance data: abridged secondary publication
ST Ali1, P Wu1, D He2, L Tian1, BJ Cowling1
1 School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
2 Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong SAR, China
 
 
  1. This study provided an integrated framework to identify potential drivers of influenza transmission in terms of associations and the ability to forecast the intensity (attack rate and peak magnitude) and the peak timing of influenza epidemics in Hong Kong.
  2. Ability to predict influenza epidemic outcomes in a timely manner is instrumental in assisting public health planning strategies and assessing the effects of interventions.