4.7 Article

Mathematical Modeling of the Population Dynamics of Age-Structured Criminal Gangs with Correctional Intervention Measures

期刊

APPLIED MATHEMATICAL MODELLING
卷 107, 期 -, 页码 39-71

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2022.02.005

关键词

Mathematical model; Criminal gang; Bifurcation; Sensitivity analysis; Model-fitting

向作者/读者索取更多资源

This paper examines the impact of correctional intervention measures on the population dynamics of criminal gangs in Nigeria. The study finds that timely prosecution and correction can potentially eradicate adolescent delinquencies from the population and control the entire criminal gangs' population.
The prevalence of criminal gang activities in the society has continued to be a huge burden to mankind. Despite several attempts by the government and non-governmental organizations in curtailing the activities of criminal gangs, new criminal gangs are beginning to emerge with associated criminal cases on the high side, thereby causing social unrest. This paper examines the impact of correctional intervention measures on the population dynamics of the criminal gangs in Nigeria, following an age-structured paradigm. The existence of backward bifurcation is presented sequel to the coexistence of gang free equilibrium and gang endemic equilibrium when the reproduction number is less than unity. Also, the model exhibits periodic trajectories (Hopf bifurcation) as a result of coexistence among the criminal gang classes. Using the Nigeria crime data (from 1993 to 2013) as obtained from Elsevier Data in Brief, we analyze the criminal gang model quantitatively and provide the sociological implications of the results. The numerical results obtained from this work show that if at least 60% of adolescents between 8-17 years who commit crimes are apprehended with prompt prosecution and correction, we can potentially eradicate adolescent delinquencies from the population and thus control the entire criminal gangs' population. (C) 2022 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据