Name: | OKeeffe |
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Abbreviation: | UGA_flucast-OKeeffe |
Owner: | lshandross |
Team name: | UGA_flucast |
Description: | An epidemic model with an underlying machine learning component, coupled with a tempering term that acts as susceptible depletion and is estimated from historical data. |
Contributors: | Spencer J. Fox (University of Georgia) <sjfox@uga.edu>, Graham C. Gibson (Los Alamos National Laboratories) <gcbgibson@lanl.gov>, Lauren Meyers (The University of Texas at Austin) <laurenmeyers@austin.utexas.edu> |
License: | Creative Commons Attribution 4.0 |
Notes: | Designated model // Data inputs: HHS // Team funding: CSTE/CDC award NU38OT000297 |
Citation: | |
Methods: | A class of epidemic models with a flexible underlying machine learning component, coupled with a tempering term that functionally acts as susceptible depletion, but can be estimated from historical data. We use historic HHS influenza wave data to make future forecasts |
Home: | https://github.com/gcgibson/semimech_package |
Auxiliary data: | (No URL) |
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2023-10-28 | forecast-62306265d05.json | 2023-11-28 16:25:06 UTC | 2023-11-28 16:25:06 UTC | |
2023-10-21 | forecast-623036d74100.json | 2023-11-28 16:25:03 UTC | 2023-11-28 16:25:03 UTC | |
2023-10-14 | forecast-623017e95e4e.json | 2023-11-28 16:25:01 UTC | 2023-11-28 16:25:01 UTC | |
2023-10-07 | (No data) |