Presenter(s)
Thomas Erdman
Files
Download Project (459 KB)
Description
Human immunodeficiency virus infection better known as HIV has spread through communities for decades. As it moves through a person's blood it effectively infects more and more cells and can lead to the development of Acquired Immune Deficiency Syndrome (AIDS). By using differential equations that model the per capita death rate of uninfected cells, infected cells, and virus particles, along with techniques such as Runge-Kutta we can predict the rate at which healthy cells will become infected.
Publication Date
4-23-2025
Project Designation
Course Project - MTH 219 04
Primary Advisor
Muhammad Usman
Primary Advisor's Department
Mathematics
Keywords
Stander Symposium, College of Arts and Sciences
Recommended Citation
"A Numerical Study of a Differential Equations Model of HIV" (2025). Stander Symposium Projects. 3820.
https://ecommons.udayton.edu/stander_posters/3820

Comments
10:45-12:00, Kennedy Union Ballroom