Update metadata-UT-ImmunoSEIRS.txt

data-processed/UT-ImmunoSEIRS/metadata-UT-ImmunoSEIRS.txt

@@ -1,7 +1,7 @@
 team_name: UT
 model_name: ImmunoSEIRS
 model_abbr: UT-ImmunoSEIRS
-model_contributors: Shraddha Ramdas Bandekar (University of Texas at Austin),Kaiming Bi (The University of Texas at Austin) <[email protected]>, Anass Bouchnita (The University of Texas at El Paso) <[email protected]>, Spencer J. Fox (The University of Georgia) <[email protected]>, Lauren Ancel Meyers (The University of Texas at Austin) <[email protected]>, UT COVID-19 Modeling Consortium.
+model_contributors: Shraddha Ramdas Bandekar (University of Texas at Austin) <[email protected]>,Kaiming Bi (The University of Texas at Austin) <[email protected]>, Anass Bouchnita (The University of Texas at El Paso) <[email protected]>, Spencer J. Fox (The University of Georgia) <[email protected]>, Lauren Ancel Meyers (The University of Texas at Austin) <[email protected]>, UT COVID-19 Modeling Consortium.
 website_url: https://covid-19.tacc.utexas.edu/
 model_version: "1.0"
 methods: We develop a new two viruses model that explicitly tracks the immunity caused by natural infections and vaccination and its impact on the average chances of infection, hospitalization and death.