Date of Award
Bachelor of Science
Department Chair or Program Director
Lee, Jangwoon "Leo"
Major or Concentration
In this research project, we used numerical methods to investigate trends in the susceptible, exposed, infectious, quarantined, recovered, closed cases and insusceptible populations for the COVID-19 pandemic in 2021. We used the SEIQR model containing seven ordinary differential equations, based on the SIR model for epidemics. An analytical solution was derived from a simplified version of the model, created by making various assumptions about the original model. Numerical solutions were generated for the first 100 days of 2021 using algorithms based on Euler's Method, Runge-Kutta Method, and Multistep Methods. Our goal is to show that numerical methods can help us predict trends in the populations we are studying and provide insight for steps that can be taken to reduce the number of infections.
Holt, Caitlin, "Numerical Study of the SEIQR Model for COVID-19" (2021). Student Research Submissions. 436.