Research Article

Spread of Crime Dynamics: A Mathematical Approach

Volume: 16 Number: 2 December 31, 2024
EN

Spread of Crime Dynamics: A Mathematical Approach

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.

Keywords

Supporting Institution

Norfolk State University

Ethical Statement

In submitting this manuscript, we affirm that the research presented adheres to the highest ethical standards. We confirm that: This work is original and has not been published elsewhere nor is it under consideration by any other publication. All authors listed on the manuscript have significantly contributed to the research and writing process. We acknowledge that each author is accountable for the content of the work. We disclose any potential conflicts of interest that may influence our research or its interpretation. No such conflicts exist. We have properly cited all sources and provided appropriate credit to others’ work. By submitting this manuscript, we commit to uphold these ethical principles and ensure the integrity of the scientific community. Sincerely, Dr. Kubilay Dagtoros Dr. Ana Vivas Dr. Sujan Pant Mr. Michael Aguadze September 25, 2024

Thanks

We thank to the editorial board for reviewing our manuscript.

References

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  2. Akers, R.L., Sellers, C.S., Criminological Theories: Introduction, Evaluation, and Application, Oxford University Press, 2012.
  3. Alper, M., Durosse, M.R., Markman, J., Update on prisoner recidivism, NCJ 250975, (2018).
  4. Banks, H.T., Castillo-Chavez, C., Bioterrorism: Mathematical modeling applications in homeland security, Society for Industrial and Applied Mathematics, Philadelphia, PA, 2003.
  5. Becker, G., Crime and punishment: An economic approach, J. Politic. Econ. 76(1968), 169–217.
  6. Brauer, F., Driessche, P.V.D., Models for transmission of disease with immigration of infectives, Math. Biosci., 171(1995), 143–154.
  7. Carson, E.A., Mortality in state and federal prisons 2001-2019, U.S. Department of Justice, Office of Justice Programs Bureau of Justice Statistics, (2021).
  8. Castillo-Chavez, C., Feng, Z., Huang, W., On the computation of R0 and its role on global stability, Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction, Vol. 125 of IMA, Springer, New York, (2002), 229–250.

Details

Primary Language

English

Subjects

Dynamical Systems in Applications

Journal Section

Research Article

Publication Date

December 31, 2024

Submission Date

September 25, 2024

Acceptance Date

December 11, 2024

Published in Issue

Year 2024 Volume: 16 Number: 2

APA
Aguadze, M., Vivas, A., Pant, S., & Dagtoros, K. (2024). Spread of Crime Dynamics: A Mathematical Approach. Turkish Journal of Mathematics and Computer Science, 16(2), 481-489. https://doi.org/10.47000/tjmcs.1555972
AMA
1.Aguadze M, Vivas A, Pant S, Dagtoros K. Spread of Crime Dynamics: A Mathematical Approach. TJMCS. 2024;16(2):481-489. doi:10.47000/tjmcs.1555972
Chicago
Aguadze, Michael, Ana Vivas, Sujan Pant, and Kubilay Dagtoros. 2024. “Spread of Crime Dynamics: A Mathematical Approach”. Turkish Journal of Mathematics and Computer Science 16 (2): 481-89. https://doi.org/10.47000/tjmcs.1555972.
EndNote
Aguadze M, Vivas A, Pant S, Dagtoros K (December 1, 2024) Spread of Crime Dynamics: A Mathematical Approach. Turkish Journal of Mathematics and Computer Science 16 2 481–489.
IEEE
[1]M. Aguadze, A. Vivas, S. Pant, and K. Dagtoros, “Spread of Crime Dynamics: A Mathematical Approach”, TJMCS, vol. 16, no. 2, pp. 481–489, Dec. 2024, doi: 10.47000/tjmcs.1555972.
ISNAD
Aguadze, Michael - Vivas, Ana - Pant, Sujan - Dagtoros, Kubilay. “Spread of Crime Dynamics: A Mathematical Approach”. Turkish Journal of Mathematics and Computer Science 16/2 (December 1, 2024): 481-489. https://doi.org/10.47000/tjmcs.1555972.
JAMA
1.Aguadze M, Vivas A, Pant S, Dagtoros K. Spread of Crime Dynamics: A Mathematical Approach. TJMCS. 2024;16:481–489.
MLA
Aguadze, Michael, et al. “Spread of Crime Dynamics: A Mathematical Approach”. Turkish Journal of Mathematics and Computer Science, vol. 16, no. 2, Dec. 2024, pp. 481-9, doi:10.47000/tjmcs.1555972.
Vancouver
1.Michael Aguadze, Ana Vivas, Sujan Pant, Kubilay Dagtoros. Spread of Crime Dynamics: A Mathematical Approach. TJMCS. 2024 Dec. 1;16(2):481-9. doi:10.47000/tjmcs.1555972

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