Search
- Page Path
- HOME > Search
Original Article
- A Differential Equation Model for the Dynamics of Youth Gambling
- Tae Sug Do, Young S. Lee
- Osong Public Health Res Perspect. 2014;5(4):233-241. Published online August 31, 2014
- DOI: https://doi.org/10.1016/j.phrp.2014.06.008
- 2,318 View
- 12 Download
- 8 Citations
-
Abstract
PDF - Objectives
We examine the dynamics of gambling among young people aged 16–24 years, how prevalence rates of at-risk gambling and problem gambling change as adolescents enter young adulthood, and prevention and control strategies.
Methods
A simple epidemiological model is created using ordinary nonlinear differential equations, and a threshold condition that spreads gambling is identified through stability analysis. We estimate all the model parameters using a longitudinal prevalence study by Winters, Stinchfield, and Botzet to run numerical simulations. Parameters to which the system is most sensitive are isolated using sensitivity analysis.
Results
Problem gambling is endemic among young people, with a steady prevalence of approximately 4–5%. The prevalence of problem gambling is lower in young adults aged 18–24 years than in adolescents aged 16–18 years. At-risk gambling among young adults has increased. The parameters to which the system is most sensitive correspond to primary prevention.
Conclusion
Prevention and control strategies for gambling should involve school education. A mathematical model that includes the effect of early exposure to gambling would be helpful if a longitudinal study can provide data in the future. -
Citations
Citations to this article as recorded by
- Optimal control model for criminal gang population in a limited-resource setting
Oluwasegun M. Ibrahim, Daniel Okuonghae, Monday N. O. Ikhile
International Journal of Dynamics and Control.2023; 11(2): 835. CrossRef - Assessing the impact of escalating attacks on soft targets by criminal gang: A modelling viewpoint using bifurcation analysis
Major Murtala Bello Aliyu, Ali Audu Baidu, Bala Ma’aji Abdulhamid, Mohammed Olanrewaju Ibrahim, Fu’ad Muhammad Mukhtar
Mathematics and Computers in Simulation.2023; 212: 122. CrossRef - Whose Responsibility Is It to Prevent or Reduce Gambling Harm? A Mapping Review of Current Empirical Research
Murat Akçayır, Fiona Nicoll, David G. Baxter, Zachary S. Palmer
International Journal of Mental Health and Addicti.2022; 20(3): 1516. CrossRef - Mathematical Modeling of the Population Dynamics of Age-Structured Criminal Gangs with Correctional Intervention Measures
Oluwasegun M. Ibrahim, Daniel Okuonghae, Monday N.O. Ikhile
Applied Mathematical Modelling.2022; 107: 39. CrossRef - Emerging Gambling Problems and Suggested Interventions: A Systematic Review of Empirical Research
Murat Akçayır, Fiona Nicoll, David G. Baxter
Journal of Gambling Studies.2022; 39(2): 857. CrossRef - Roll the Dice
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2014; 5(5): 243. CrossRef - Summing Up Again
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2014; 5(4): 177. CrossRef - Optimal Implementation of Intervention Strategies for Elderly People with Ludomania
Byul Nim Kim, M.A. Masud, Yongkuk Kim
Osong Public Health and Research Perspectives.2014; 5(5): 266. CrossRef
- Optimal control model for criminal gang population in a limited-resource setting
First
Prev
