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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: "" |