Author: Michal Ben-Nun; Pete Riley; James Turtle; David P. Bacon; Steven Riley
Title: National and Regional Influenza-Like-Illness Forecasts for the USA Document date: 2018_4_27
ID: cheiabv0_40
Snippet: . CC-BY 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/309021 doi: bioRxiv preprint Forecasts based on the mechanistic model performed better than the historic NULL 379 model for the peak intensity (Fig 3 A /B/C/D). Two weeks before the peak week (and 380 three weeks early in the season) we started predicting the correct pe.....
Document: . CC-BY 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/309021 doi: bioRxiv preprint Forecasts based on the mechanistic model performed better than the historic NULL 379 model for the peak intensity (Fig 3 A /B/C/D). Two weeks before the peak week (and 380 three weeks early in the season) we started predicting the correct peak intensity of 5.1% 381 (to within ±0.5%). The mean and median historic values are significantly lower (4.4% 382 and 4.1% respectively) and outside the ±0.5% range. Our apparent forecast 383 performance for intensity appears to drop off at the end of the season. However, this is 384 an artifact of the forecasting work flow. Once the peak had clearly passed, the final 385 model was selected for reasons other than the peak intensity and the already-observed 386 peak intensity was submitted.
Search related documents:
Co phrase search for related documents- cc international license and mechanistic model: 1, 2, 3
- cc international license and peak week: 1, 2
- cc international license and season end: 1
- international license and mechanistic model: 1, 2, 3
- international license and peak week: 1, 2
- international license and season end: 1
- peak week and season end: 1
Co phrase search for related documents, hyperlinks ordered by date