Login / Signup

Conjunction of factors triggering waves of seasonal influenza.

Ishanu ChattopadhyayEmre KıcımanJoshua W ElliottJeffrey L ShamanAndrey Rzhetsky
Published in: eLife (2018)
Using several longitudinal datasets describing putative factors affecting influenza incidence and clinical data on the disease and health status of over 150 million human subjects observed over a decade, we investigated the source and the mechanistic triggers of influenza epidemics. We conclude that the initiation of a pan-continental influenza wave emerges from the simultaneous realization of a complex set of conditions. The strongest predictor groups are as follows, ranked by importance: (1) the host population's socio- and ethno-demographic properties; (2) weather variables pertaining to specific humidity, temperature, and solar radiation; (3) the virus' antigenic drift over time; (4) the host population'€™s land-based travel habits, and; (5) recent spatio-temporal dynamics, as reflected in the influenza wave auto-correlation. The models we infer are demonstrably predictive (area under the Receiver Operating Characteristic curve 80%) when tested with out-of-sample data, opening the door to the potential formulation of new population-level intervention and mitigation policies.
Keyphrases
  • climate change
  • randomized controlled trial
  • endothelial cells
  • risk factors
  • big data
  • cross sectional
  • risk assessment
  • machine learning
  • deep learning
  • radiation induced
  • pluripotent stem cells