Model: MOBS Lab at Northeastern University - MOBS-GLEAM_FLUH

    Name: GLEAM Flu Forecasting Model
    Abbreviation: MOBS-GLEAM_FLUH
    Owner: lshandross
    Team name: MOBS Lab at Northeastern University
    Description: Metapopulation, age structured SLIR model
    Contributors: Alessandro Vespignani (MOBS Lab, Northeastern University) <alexves@gmail.com>, Matteo Chinazzi (MOBS Lab, Northeastern University) <m.chinazzi@northeastern.edu>, Jessica T. Davis (MOBS Lab, Northeastern University) <jes.davis@northeastern.edu>, Kunpeng Mu (MOBS Lab, Northeastern University) <mu.k@northeastern.edu>, Clara Bay (MOBS Lab, Northeastern University) <bay.c@northeastern.edu>, Guillaume St-Onge (MOBS Lab, Northeastern University) <g.st-onge@northeastern.edu>, Remy LeWinter (MOBS Lab, Northeastern University) <lewinter.r@northeastern.edu>
    License: Creative Commons Attribution Share Alike 4.0
    Notes: Designated model // Data inputs: Weekly incident flu hospitalizations, queried through HHS // Team funding: We acknowledge support from grant HHS/CDC 6U01IP001137, HHS/CDC 5U01IP0001137.
    Citation: https://uploads-ssl.webflow.com/58e6558acc00ee8e4536c1f5/5e8bab44f5baae4c1c2a75d2_GLEAM_web.pdf
    Methods: The GLEAM framework is based on a metapopulation approach in which the US is divided into geographical subpopulations. Human mobility between subpopulations is represented on a network. This mobility data layer identifies the numbers of individuals traveling from one sub-population to another. The mobility network is made up of different kinds of mobility processes from short-range commuting between nearby subpopulations to flights. To model short-range mobility such as commuting or car travel, we rely on databases collected from the Offices of Statistics of 30 countries on five continents. Superimposed on the US population and mobility layers is an compartmental epidemic model that defines the infection and population dynamics.
    Home: https://www.mobs-lab.org/
    Auxiliary data: (No URL)

    Forecasts (30)

    Timezero Data Source Upload Time Issued at Version
    2024-04-27 forecast-73811e083cb5.json 2024-04-25 11:22:54 UTC 2024-04-25 11:22:54 UTC
    2024-04-20 forecast-734e53295d82.json 2024-04-18 11:22:42 UTC 2024-04-18 11:22:42 UTC
    2024-04-13 forecast-73e344dfb688.json 2024-04-12 11:22:54 UTC 2024-04-12 11:22:54 UTC
    2024-04-06 forecast-73a7258db208.json 2024-04-04 11:22:40 UTC 2024-04-04 11:22:40 UTC
    2024-03-30 forecast-758240cb22cc.json 2024-03-28 11:26:30 UTC 2024-03-28 11:26:30 UTC
    2024-03-23 forecast-75552bccbec6.json 2024-03-21 11:26:33 UTC 2024-03-21 11:26:33 UTC
    2024-03-16 forecast-75a4fa05e5a.json 2024-03-14 11:25:25 UTC 2024-03-14 11:25:25 UTC
    2024-03-09 forecast-75e236d29dc3.json 2024-03-07 11:25:42 UTC 2024-03-07 11:25:42 UTC
    2024-03-02 forecast-75207a3fa586.json 2024-03-01 15:33:35 UTC 2024-03-01 15:33:35 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-73ae74f2c50b.json 2024-05-02 11:23:09 UTC 2024-05-02 11:23:09 UTC
    2024-02-24 forecast-74e75cb3ceb5.json 2024-02-22 11:25:16 UTC 2024-02-22 11:25:16 UTC
    2024-02-17 forecast-75474fa01d11.json 2024-02-15 11:25:02 UTC 2024-02-15 11:25:02 UTC
    2024-02-10 forecast-74e81b441748.json 2024-02-08 11:25:31 UTC 2024-02-08 11:25:31 UTC
    2024-02-03 forecast-750e4bb77894.json 2024-02-02 11:24:35 UTC 2024-02-02 11:24:35 UTC
    2024-01-27 forecast-756e596b01a0.json 2024-01-25 11:26:30 UTC 2024-01-25 11:26:30 UTC
    2024-01-20 forecast-74f8dd9ebc0.json 2024-01-18 11:25:14 UTC 2024-01-18 11:25:14 UTC
    2024-01-13 forecast-7520101816ff.json 2024-01-11 11:25:24 UTC 2024-01-11 11:25:24 UTC
    2024-01-06 forecast-74f91bb898c5.json 2024-01-04 11:25:18 UTC 2024-01-04 11:25:18 UTC
    2023-12-30 forecast-74df3ab4fdea.json 2023-12-28 11:25:07 UTC 2023-12-28 11:25:07 UTC
    2023-12-23 forecast-74d168af6e50.json 2023-12-21 11:25:26 UTC 2023-12-21 11:25:26 UTC
    2023-12-16 forecast-75bc5bc584a7.json 2023-12-14 11:25:24 UTC 2023-12-14 11:25:24 UTC
    2023-12-09 forecast-75c129e6d811.json 2023-12-08 15:43:37 UTC 2023-12-08 15:43:37 UTC
    2023-12-02 forecast-ac648a02570.json 2023-12-07 15:03:37 UTC 2023-12-07 15:03:37 UTC
    2023-11-25 forecast-623056354f28.json 2023-11-28 16:24:57 UTC 2023-11-28 16:24:57 UTC
    2023-11-18 forecast-62307a1cd92.json 2023-11-28 16:24:54 UTC 2023-11-28 16:24:54 UTC
    2023-11-11 forecast-623013e11e69.json 2023-11-28 16:24:51 UTC 2023-11-28 16:24:51 UTC
    2023-11-04 forecast-62301d285c83.json 2023-11-28 16:24:49 UTC 2023-11-28 16:24:49 UTC
    2023-10-28 forecast-62303b6f4b1.json 2023-11-28 16:24:46 UTC 2023-11-28 16:24:46 UTC
    2023-10-21 forecast-6230739332bf.json 2023-11-28 16:24:43 UTC 2023-11-28 16:24:43 UTC
    2023-10-14 forecast-62302c8214cd.json 2023-11-28 16:24:40 UTC 2023-11-28 16:24:40 UTC
    2023-10-07 (No data)