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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.01607 |
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| _version_ | 1866913527241900032 |
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| author | Aguadze, Michael Vivas, Ana Pant, Sujan Dagtoros, Kubilay |
| author_facet | Aguadze, Michael Vivas, Ana Pant, Sujan Dagtoros, Kubilay |
| contents | In this work, the spread of crime dynamics in the US is analyzed from a mathematical scope, an epidemiological model is established, including five compartments: Susceptible (S), Latent 1 (E1), Latent 2 (E2), Incarcerated (I), and Recovered (R). A system of differential equations is used to model the spread of crime. A result to show the positivity of the solutions for the system is included. The basic reproduction number and the stability for the disease-free equilibrium results are calculated following epidemiological theories. Numerical simulations are performed with US parameter values. Understanding the dynamics of the spread of crime helps to determine what factors may work best together to reduce violent crime. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_01607 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spread of Crime Dynamics: A mathematical approach Aguadze, Michael Vivas, Ana Pant, Sujan Dagtoros, Kubilay Physics and Society In this work, the spread of crime dynamics in the US is analyzed from a mathematical scope, an epidemiological model is established, including five compartments: Susceptible (S), Latent 1 (E1), Latent 2 (E2), Incarcerated (I), and Recovered (R). A system of differential equations is used to model the spread of crime. A result to show the positivity of the solutions for the system is included. The basic reproduction number and the stability for the disease-free equilibrium results are calculated following epidemiological theories. Numerical simulations are performed with US parameter values. Understanding the dynamics of the spread of crime helps to determine what factors may work best together to reduce violent crime. |
| title | Spread of Crime Dynamics: A mathematical approach |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2410.01607 |