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Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers.


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-to-year 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.

SUBMITTER: Axelsen JB 

PROVIDER: S-EPMC4084473 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers.

Axelsen Jacob Bock JB   Yaari Rami R   Grenfell Bryan T BT   Stone Lewi L  

Proceedings of the National Academy of Sciences of the United States of America 20140616 26


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-to-year 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 b  ...[more]

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