Model: UNC Infectious Disease Dynamics - UNC_IDD-InfluPaint

    Name: InfluPaint
    Abbreviation: UNC_IDD-InfluPaint
    Owner: lshandross
    Team name: UNC Infectious Disease Dynamics
    Description: A generative denoising diffusion probabilistic model of Influenza dynamics generates synthetic epidemic trajectories, conditioned on past ground-truth data using an inpainting algorithm.
    Contributors: Joseph Lemaitre (University of North Carolina at Chapel Hill) <jo.lemaitresamra@gmail.com>, Justin Lessler (University of North Carolina at Chapel Hill) <jlessler@unc.edu>
    License: Creative Commons Attribution Share Alike 4.0
    Notes: Designated model // Data inputs: inference on the target data only, but the machine learning model trained on Fluview and FlepiMoP projections for the US Flu Scenario modeling hub // Team funding: J.L. and J.C.L. disclose support from the National Institutes of Health (NIH 5R01AI102939).
    Citation:
    Methods: We use a generative AI method, denoising diffusion probabilistic model (DDPMs), to generate epidemic trajectories (we treat influenza epidemic curves as images (axes are time and location, a pixel value is e.g incident hospitalization and stay close to the image generation literature). So our model account characterizes the uncertainty that exists in the space of possible flu trajectories. Spatial correlation is considered as all the features of the full images should be reproduced in our generated images. Then, we use the COPaint algorithm to inpaint the future from ground-truth data.
    Home: https://github.com/jcblemai/inpainting-idforecasts
    Auxiliary data: (No URL)

    Forecasts (24)

    Timezero Data Source Upload Time Issued at Version
    2024-04-27 forecast-73814c4990b3.json 2024-04-25 11:22:49 UTC 2024-04-25 11:22:49 UTC
    2024-04-20 forecast-734e1272fc23.json 2024-04-18 11:22:37 UTC 2024-04-18 11:22:37 UTC
    2024-04-13 forecast-73f03c2e71eb.json 2024-04-13 11:18:34 UTC 2024-04-13 11:18:34 UTC
    2024-04-06 (No data)
    2024-03-30 forecast-75826169de18.json 2024-03-28 11:26:25 UTC 2024-03-28 11:26:25 UTC
    2024-03-23 forecast-75559b0e620.json 2024-03-21 11:26:27 UTC 2024-03-21 11:26:27 UTC
    2024-03-16 forecast-75a416bf7be1.json 2024-03-14 11:25:20 UTC 2024-03-14 11:25:20 UTC
    2024-03-09 forecast-75e273f50c10.json 2024-03-07 11:25:37 UTC 2024-03-07 11:25:37 UTC
    2024-03-02 forecast-752053ea5c48.json 2024-03-01 15:33:29 UTC 2024-03-01 15:33:29 UTC
    2024-06-01 (No data)
    2024-05-25 (No data)
    2024-05-18 (No data)
    2024-05-11 (No data)
    2024-05-04 forecast-73ae5c4c1e4f.json 2024-05-02 11:23:03 UTC 2024-05-02 11:23:03 UTC
    2024-02-24 forecast-74e73b202756.json 2024-02-22 11:25:11 UTC 2024-02-22 11:25:11 UTC
    2024-02-17 forecast-75473e8b7507.json 2024-02-15 11:24:58 UTC 2024-02-15 11:24:58 UTC
    2024-02-10 forecast-74e8739544d3.json 2024-02-08 11:25:26 UTC 2024-02-08 11:25:26 UTC
    2024-02-03 forecast-750e1ed196a2.json 2024-02-02 11:24:31 UTC 2024-02-02 11:24:31 UTC
    2024-01-27 forecast-756e15220e96.json 2024-01-25 11:26:24 UTC 2024-01-25 11:26:24 UTC
    2024-01-20 forecast-74f85aec754f.json 2024-01-18 11:25:09 UTC 2024-01-18 11:25:09 UTC
    2024-01-13 forecast-75202a10f9f8.json 2024-01-11 11:25:19 UTC 2024-01-11 11:25:19 UTC
    2024-01-06 forecast-74f932ccfa24.json 2024-01-04 11:25:13 UTC 2024-01-04 11:25:13 UTC
    2023-12-30 forecast-74df43128047.json 2023-12-28 11:25:04 UTC 2023-12-28 11:25:04 UTC
    2023-12-23 forecast-74d15f4d402e.json 2023-12-21 11:25:21 UTC 2023-12-21 11:25:21 UTC
    2023-12-16 forecast-75ae46a7c8a0.json 2023-12-15 11:25:34 UTC 2023-12-15 11:25:34 UTC
    2023-12-09 forecast-75323b2200c3.json 2023-12-08 14:56:50 UTC 2023-12-08 14:56:50 UTC
    2023-12-02 (No data)
    2023-11-25 forecast-635049a21d8a.json 2023-11-28 16:24:31 UTC 2023-11-28 16:24:31 UTC
    2023-11-18 forecast-63507cb815bb.json 2023-11-28 16:24:29 UTC 2023-11-28 16:24:29 UTC
    2023-11-11 forecast-63505eae3140.json 2023-11-28 16:24:27 UTC 2023-11-28 16:24:27 UTC
    2023-11-04 (No data)
    2023-10-28 (No data)
    2023-10-21 (No data)
    2023-10-14 (No data)
    2023-10-07 (No data)