Spread of Crime Dynamics: A Mathematical Approach

In this work, the spread of crime dynamics in the US is analyzed from a mathematical perspective. An epidemiological model is established, including five compartments: Susceptible ($S$), Latent 1 ($E_1$), Latent 2 ($E_2)$, Incarcerated ($I$), and Recovered ($R$). A system of differential equations is used to model the spread of crime. A result demonstrating the positivity of the solutions for the system is included. The basic reproduction number and the stability of the disease-free equilibrium are calculated following epidemiological theories. Numerical simulations are performed with US-specific parameter values. Understanding the dynamics of the spread of crime helps to determine what factors may work best to reduce violent crime effectively.

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Publication Details

Journal
Turkish Journal of Mathematics and Computer Science
Published
2024-12-29
DOI
https://doi.org/10.47000/tjmcs.1555972
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.54
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article

Spread of Crime Dynamics: A Mathematical Approach

Kubilay DAGTOROS, Ana Vivas, Sujan Pant, Michael Aguadze
1 citations
Turkish Journal of Mathematics and Computer Science
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
article

Spread of Crime Dynamics: A Mathematical Approach

Kubilay DAGTOROS, Ana Vivas, Sujan Pant, Michael Aguadze
article en
1 citations

Abstract

In this work, the spread of crime dynamics in the US is analyzed from a mathematical perspective. An epidemiological model is established, including five compartments: Susceptible ($S$), Latent 1 ($E_1$), Latent 2 ($E_2)$, Incarcerated ($I$), and Recovered ($R$). A system of differential equations is used to model the spread of crime. A result demonstrating the positivity of the solutions for the system is included. The basic reproduction number and the stability of the disease-free equilibrium are calculated following epidemiological theories. Numerical simulations are performed with US-specific parameter values. Understanding the dynamics of the spread of crime helps to determine what factors may work best to reduce violent crime effectively.

Turkish Journal of Mathematics and Computer ScienceVol. 16(2)
Norfolk State University (US)
Good health and well-being
Openalex Percentile: Top 25%
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
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Spread of Crime Dynamics: A Mathematical Approach — Kubilay DAGTOROS, Ana Vivas, et al. · Turkish Journal of Mathematics and Computer Science (2024) | TGRS Research Map | TGRS