CEPH-MetaFlu.yaml

team_name: "CEPH Lab at Indiana University"
team_abbr: "CEPH"
model_name: MetaFlu
model_abbr: MetaFlu
model_contributors: [
    {
        "name": "Marco Ajelli",
        "affiliation": "Indiana University Bloomington",
        "email": "majelli@iu.edu"
    },
    {
        "name": "Shreeya Mhade",
        "affiliation": "Indiana University Bloomington",
        "email": "smhade@iu.edu"
    },
    {
        "name": "Paulo C. Ventura",
        "affiliation": "Indiana University Bloomington",
        "email": "pventura@iu.edu"
    },
]
license: "CC-BY_SA-4.0"
methods: "Age-structured ordinary differential equations model"
methods_long: "The model framework is based on ordinary differential equations and age-stratified contact matrices derived from both macro (census) and micro (survey) data sources. Flu transmissibility follows a seasonal pattern which is calibrated using hospitalization data from NHSN for the 2022-2023, 2023-2024 and 2024-2025 seasons. Furthermore, our model uses age-dependent infection-to-hospitalization risks, whose posterior distribution is estimated by our optimization procedure and their prior distribution is based on Flu literature."
model_version: "1.3"
website_url: "https://publichealth.indiana.edu/about/directory/Marco-Ajelli-majelli.html"
team_funding: "Cooperative agreement CDC-RFA-FT-23-0069 from the CDC’s Center for Forecasting and Outbreak Analytics"
data_inputs: "NHSN Weekly Hospital Respiratory Data for flu; demographic data from this repository; contact pattern data from Mistry et al. Nature Communications 2021."