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Create CU-RSV_SVIRS.yaml
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tkcy committed Dec 7, 2023
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team_name: “Columbia University”
team_abbr: “CU”
model_name: “RSV SVIRS”
model_abbr: “RSV_SVIRS"
model_contributors: [
{
"name": “Pei S“,
"affiliation": “Columbia University”,
"email": [email protected]
},
{
"name": “Yamana T”,
"affiliation": “Columbia University”,
"email": [email protected]
}
]
license: "cc-by-4.0, https://creativecommons.org/licenses/by/4.0/"
methods: “SVIRS compartmental model with Ensemble Adjustment Kalman Filter”
methods_long: “State-level SVIRS compartmental model, fit to observation using Ensemble Adjustment Kalman Filter (EAKF). Each state’s population divided into age categories: <1, 1-4, 5-64, and 65+. Contacts between age groups are based on estimates from the Polymod study.”
model_version: "1.0"
website_url: ""
team_funding: "funding information"
data_inputs: “RSV-Net hospitalization data. Population data from US Census. Polymod contact rates.”
citation: ""

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