Jordan Pellett
(Grand Valley State University)
13/07/2026, 15:00
Mathematical Epidemiology
Minisymposium Talk
Katie Gurski
(Howard University)
13/07/2026, 15:20
Mathematical Epidemiology
Minisymposium Talk
Lihong Zhao
(Kennesaw University)
13/07/2026, 15:40
Mathematical Epidemiology
Minisymposium Talk
Madison Pratt
(University of Tennessee, Knoxville)
13/07/2026, 16:00
Mathematical Epidemiology
Minisymposium Talk
Michael Robert
(Virginia Tech)
13/07/2026, 17:00
Mathematical Epidemiology
Minisymposium Talk
Necibe Tuncer
(Florida Atlantic University)
13/07/2026, 17:20
Mathematical Epidemiology
Minisymposium Talk
Quiyana Murphy
(University of Michigan)
13/07/2026, 17:40
Mathematical Epidemiology
Minisymposium Talk
Summer Atkins
(University of Alabama, Huntsville)
13/07/2026, 18:00
Mathematical Epidemiology
Minisymposium Talk
Dr
Jordan Pellett
(Grand Valley State University), Dr
Katie Gurski
(Howard University), Dr
Lihong Zhao
(Kennesaw University),
Madison Pratt
(University of Tennessee, Knoxville), Dr
Michael Robert
(Virginia Tech), Dr
Necibe Tuncer
(Florida Atlantic University), Dr
Quiyana Murphy
(University of Michigan), Dr
Summer Atkins
(University of Alabama, Huntsville)
Mathematical Epidemiology
Minisymposium
Epidemiological models are often used to address real-world policy and intervention questions for which it is challenging to collect large-scale and precise data. As a result, such models frequently involve the use of noisy or sparse data. Traditional modeling and parameter estimation methods used in the wrong context can lead to erroneous conclusions about the impact of interventions, or our...
