Allison Lenhardt, Hana Tinch
Download Project (342 KB)
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.
Primary Advisor's Department
Stander Symposium Posters, College of Arts and Sciences
"Using Infectious Disease Models to Study Gang Activity Through Computational Mathematics" (2020). Stander Symposium Projects. 1944.