Modeling the Spread of Disease

Authors

James Hollister

Files

Description

Mathematically modeling the spread of disease in a population is a focus among epidemiologists. Using an SIR model (susceptible, infected, and recovered), we can create a system of differential equations to help better understand how a disease spreads in a simple environment. However, if we are to create a more realistic environment, computer simulations may be necessary. We can use the results from these simulations to try and find ways to eradicate the disease as efficiently as possible. In this poster, we will present the SIR model, present a system of differential equations that describe the movement of disease in the SIR model, configure and analyze the results of a computer simulation which models and extends the SIR model to create a more realistic environment for the disease to spread, and discuss limitations and future research for this topic.

Class: Math 488 – Senior Capstone

Publication Date

12-6-2018

Document Type

Poster

City

Grand Forks, ND

Keywords

mathematical modeling, disease spread

Disciplines

Mathematics

Comments

Presented at the Winter 2018 Undergraduate Showcase Grand Forks, ND, December 6, 2018.

Recommended Citation

Hollister, James, "Modeling the Spread of Disease" (2018). Essential Studies UNDergraduate Showcase. 20.
https://commons.und.edu/es-showcase/20