Counteracting structural errors in ensemble forecast of influenza outbreaks
Inaccuracy of influenza forecasts based on dynamical models is partly due to nonlinear error growth. Here the authors address the error structure of a compartmental influenza model, and develop a new improved forecast approach combining dynamical error correction and statistical filtering techniques...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-017-01033-1 |