Presenter(s)
Allison Lenhardt, Hana Tinch
Files
Download Project (342 KB)
Description
Gang activity shows a similar pattern to infectious diseases which can be modelled using nonlinear differential equations. Using the model of infectious diseases, predictions can be made to relate gang interactions with the population and the recruitment of new gang members. By manipulating personal interaction, conviction, recidivism, and jail time, awareness of which combination of factors results in the least amount of gang activity can lead to preventative measures to see how to best minimize gang activity. We study this model using numerical solutions of systems of differential equations.
Publication Date
4-22-2020
Project Designation
Course Project
Primary Advisor
Muhammad Usman
Primary Advisor's Department
Mathematics
Keywords
Stander Symposium project, College of Arts and Sciences
Recommended Citation
"Using Infectious Disease Models to Study Gang Activity Through Computational Mathematics" (2020). Stander Symposium Projects. 1944.
https://ecommons.udayton.edu/stander_posters/1944
Comments
This presentation was given live via Zoom at 2:00 p.m. (Eastern Time) on Wednesday, April 22, 2020.
This project reflects research conducted as part of a course project designed to give students experience in the research process. Course: MTH 219 03