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PRODID:-//University of Utah Math Department//Modeling insights into SARS-CoV-2 respiratory tract infections//EN
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X-WR-CALNAME:Modeling insights into SARS-CoV-2 respiratory tract infections
X-WR-CALDESC:Modeling insights into SARS-CoV-2 respiratory tract infections at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20210422T160000-greg-forest@math.utah.edu
DTSTART;TZID=America/Denver:20210422T160000
DTEND;TZID=America/Denver:20210422T170000
DTSTAMP:20260922T150858Z
SUMMARY:Modeling insights into SARS-CoV-2 respiratory tract infections
DESCRIPTION:Speaker: Greg Forest\, The University of North Carolina at Chapel Hill\n\nInsights into the mechanisms and dynamics of human respiratory tract (HRT) infections from the SARS-CoV-2 virus can inform public awareness as well as guide medical prevention and treatment for COVID-19 disease. Yet, the complex physiology of the human lung and the inability to sample diverse …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2021-04-22-greg-forest/
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