A Mathematical Model for Alcoholism Epidemic

Authors

Presenter(s)

Marina Li Mancuso

Files

Description

Mathematical models are widely used to study the dynamics of infectious diseases as well as the social networks. This study considers a mathematical model for alcoholism transmission for a closed population. The model is derived from the SIR model for infectious diseases. The study utilizes the Runge-Kutta method as the numerical method to solve a system of differential equations describing the transmission of alcoholism.

Publication Date

4-9-2016

Project Designation

Independent Research

Primary Advisor

Muhammad Usman

Primary Advisor's Department

Mathematics

Keywords

Stander Symposium project

Recommended Citation

"A Mathematical Model for Alcoholism Epidemic" (2016). Stander Symposium Projects. 758.
https://ecommons.udayton.edu/stander_posters/758