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UT-ImmunoSEIRS.yaml
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UT-ImmunoSEIRS.yaml
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team_name: "University of Texas at Austin"
team_abbr: "UT"
model_name: "UT-ImmunoSEIRS"
model_abbr: "ImmunoSEIRS"
model_contributors: [
{
"name": "Kaiming Bi",
"affiliation": "The University of Texas at Austin",
"email": "[email protected]"
},
{
"name": "Shraddha Ramdas Bandekar",
"affiliation": "The University of Texas at Austin",
"email": "[email protected]"
},
{
"name": "Anass Bouchnita",
"affiliation": "The University of Texas at El Paso",
"email": "[email protected]"
},
{
"name": "Spencer J. Fox",
"affiliation": "The University of Georgia",
"email": "[email protected]"
},
{
"name": "Lauren Ancel Meyers",
"affiliation": "The University of Texas at Austin",
"email": "[email protected]"
}
]
license: "cc-by-4.0"
methods: "We develop a single viruses model that explicitly tracks the immunity caused by natural infections, vaccination and monoclonal antibodies and its impact on the average chances of infection, hospitalization and death."
model_version: "1.0"
website_url: "https://covid-19.tacc.utexas.edu/"