Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers

Jacob Bock Axelsen, Rami Yaari, Bryan T. Grenfell, Lewi Stone

Research output: Contribution to journalArticle

44 Scopus citations

Abstract

Human influenza occurs annually in most temperate climatic zones of the world, with epidemics peaking in the cold winter months. Considerable debate surrounds the relative role of epidemic dynamics, viral evolution, and climatic drivers in driving year-toyear variability of outbreaks. The ultimate test of understanding is prediction; however, existing influenza models rarely forecast beyond a single year at best. Here, we use a simple epidemiological model to reveal multiannual predictability based on high-quality influenza surveillance data for Israel; the model fit is corroborated by simple metapopulation comparisons within Israel. Successful forecasts are driven by temperature, humidity, antigenic drift, and immunity loss. Essentially, influenza dynamics are a balance between large perturbations following significant antigenic jumps, interspersed with nonlinear epidemic dynamics tuned by climatic forcing.

Original languageEnglish (US)
Pages (from-to)9538-9542
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Volume111
Issue number26
DOIs
StatePublished - Jul 1 2014

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • Bayesian epidemic model
  • Climate
  • Infectious disease
  • Model forecasting
  • Predictive model

Fingerprint Dive into the research topics of 'Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers'. Together they form a unique fingerprint.

  • Cite this