Просмотр новости
Найдите то, что Вас интересует
Спутники
РН
SpaceX
Роскосмос
NASA
СпутникиРНSpaceXРоскосмосNASASpeaker: Ka-Kit (KK) TungSpeaker Affiliation: University of WashingtonSpeaker Link: https://amath.washington.edu/people/ka-kit-tungOctober 27, 2026MATH 126
CanadaIn case you cannot attend the event in person, please join us online:
Join Zoom Meeting:
https://ubc.zoom.us/j/65246006268?pwd=vFrUpDrzPEYGZ3dSezvCp2uiupsdiO.1
Meeting ID: 652 4600 6268
Passcode: 988036
View All EventsAbstract: Dynamical modeling for the spread of an infectious disease has 100 years of history. Traditional compartmental models such as SIR and SEIR, empirical models and data-driven models were all used during the COVID-19 epidemic. They played an important role in advising policy makers on whether social contacts should be suppressed or whether it is better off waiting for herd immunity to run its course. The predictions by these models however yield dubious results. Here we revisited the model formulation from first principles, and show why they failed.
A New Model Formulation of the Spread of Epidemics: Why Were Traditional Models So Inaccurate for COVID-19?Event Topic:
Mathematical Biology
Speaker:
Ka-Kit (KK) Tung
Speaker Affiliation:
University of Washington
Speaker Link:
https://amath.washington.edu/people/ka-kit-tung
October 27, 2026
MATH 126
Canada
Abstract:
Dynamical modeling for the spread of an infectious disease has 100 years of history. Traditional compartmental models such as SIR and SEIR, empirical models and data-driven models were all used during the COVID-19 epidemic. They played an important role in advising policy makers on whether social contacts should be suppressed or whether it is better off waiting for herd immunity to run its course. The predictions by these models however yield dubious results. Here we revisited the model formulation from first principles, and show why they failed.
Event Topic:
October 27, 2026
11:00am to 12:00pm
MATH 126
, , CA