Login / Signup

Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches.

John S BrownsteinShuyu ChuAchla MarathePrashant RangarajanAndre T NguyenDaniela PaolottiNicola PerraDaniela PerrottaMauricio SantillanaSamarth SwarupMichele TizzoniAlessandro VespignaniAnil Kumar S VullikantiMandy L WilsonQian Zhang
Published in: JMIR public health and surveillance (2017)
While the advantages of participatory surveillance, compared to traditional surveillance, include its timeliness, lower costs, and broader reach, it is limited by a lack of control over the characteristics of the population sample. Modeling and simulation can help overcome this limitation as well as provide real-time and long-term forecasting of influenza activity in data-poor parts of the world.
Keyphrases
  • public health
  • artificial intelligence