UNCC-Hierbin.yaml

team_name: "UNC Charlotte"
team_abbr: "UNCC"
model_name: "Hierbin"
model_abbr: "Hierbin"
model_contributors: [
  {
    "name": "Chen S",
    "affiliation": "UNC Charlotte",
    "email": "schen56@charlotte.edu"
  },
  {
   "name": "Janies D",
    "affiliation": "UNC Charlotte",
    "email": "djanies@charlotte.edu"
  },
  {
    "name": "Paul R",
    "affiliation": "UNC Charlotte",
    "email": "rpaul9@charlotte.edu"
  }
]
license: "CC-BY-4.0"
methods: "Hybrid data-driven and mechanistic model"
methods_long: "We first applied a data-driven method (long-short term memory) to track the hospitalization trajectory, and perform model fitting and calibration based on historical data. The baseline scenario is developed. Then a mechanistic model is applied on the baseline scenario to further simulate various scenarios."
model_version: "1.0"
website_url: TBD
team_funding: "NSF DMS2436227"
data_inputs: "RSVNet weekly incident hospitalization data and other data provided by the RSV SMH"