Spread of Crime Dynamics: A Mathematical Approach
Year 2024,
Volume: 16 Issue: 2, 481 - 489, 31.12.2024
Michael Aguadze
,
Ana Vivas
,
Sujan Pant
,
Kubilay Dagtoros
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.
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
Supporting Institution
Norfolk State University
Thanks
We thank to the editorial board for reviewing our manuscript.
References
- Ahmad, F.B., Cisewski, J.A., Xu, J., Anderson, R.N., Provisional mortality data - United States, 2022, Morb. Mortal. Wkly. Rep., 72(2023), 488–492.
- Akers, R.L., Sellers, C.S., Criminological Theories: Introduction, Evaluation, and Application, Oxford University Press, 2012.
- Alper, M., Durosse, M.R., Markman, J., Update on prisoner recidivism, NCJ 250975, (2018).
- Banks, H.T., Castillo-Chavez, C., Bioterrorism: Mathematical modeling applications in homeland security, Society for Industrial and Applied Mathematics, Philadelphia, PA, 2003.
- Becker, G., Crime and punishment: An economic approach, J. Politic. Econ. 76(1968), 169–217.
- Brauer, F., Driessche, P.V.D., Models for transmission of disease with immigration of infectives, Math. Biosci., 171(1995), 143–154.
- 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).
- 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.
- Clinard, M.B., Meier, R.F., Sociology of Deviant Behavior, Wadsworth, Belmont, 2010.
- Crane, J., The epidemic theory of ghettos and neighborhood effects on dropping out and teenage childbearing, Amer. J. Sociol., 96(1991), 1226–1259.
- Diekmann, O., Heesterbeek, J.A.P., Metz, J.A.J., On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations, J. Math. Biol., 28(4)(1990), 365–382.
- Driessche, P.V.D., Watmough, J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180(1)(2002), 29–48.
- Ehrlich, I., On the usefulness of controlling individuals: An economic analysis of rehabilitation, incapacitation and deterrence, Amer. Econ. Rev., 71(3)(1981), 307–322.
- FBI Report 2018, Crime in the Unite States, https://ucr.fbi.gov/crime-in-the-u.s/2018/crime-in-theu.s.-2018/topic-pages/nations-two-crimemeasures.
- Glueck, S., Glueck, E.T., Unravelling Juvenile Delinquency, Harvard University Press, Cambridge, 1950.
- Gordon, M.B., A random walk in the literature on criminality: A partial and critical view on some statistical analyses and modeling approaches, Eur. J. Appl. Math., 21(2010), 283–306.
- Hethcote, H.W., The mathematics of infectious diseases, SIAM Rev., 42(4)(2000), 599–653.
- Kretzschmar, M., Wallinga, J., Mathematical models in infectious disease epidemiology, Modern Infectious Disease Epidemiology, Springer New York, NY, (2009), 209–221.
- Lawson, D., Marion, G., An Introduction to Mathematical Modeling, Bioinformatics and Statistics Scotland, 2008.
- Lehrer, D., Trauma-informed care: The importance of understanding the incarcerated women, J. Correct. Health Care, 27(2)(2021), 121–126.
- Martin, J.A., Hamilton, B.E., Osterman, M.J.K., Births in the United States, 2022, NCHS Data Brief, 477(2023).
- McMillon, D., Simon, C.P., Morenoff, J., Modeling the underlying dynamics of the spread of crime, PLoS One, 9(4)(2014).
- Santonja, F.J., Tarazona, A.C., Villanueva, R.J., A mathematical model of the pressure of an extreme ideology on a society, Comput. Math. Appl., 56(2008), 836–846.
- Zhao, H., Feng, Z., Castillo-Chavez, C., The dynamics of poverty and crime, J. Shanghai Normal Univ., Nat. Sci. Math., 43(5)(2014), 486–495.
Year 2024,
Volume: 16 Issue: 2, 481 - 489, 31.12.2024
Michael Aguadze
,
Ana Vivas
,
Sujan Pant
,
Kubilay Dagtoros
References
- Ahmad, F.B., Cisewski, J.A., Xu, J., Anderson, R.N., Provisional mortality data - United States, 2022, Morb. Mortal. Wkly. Rep., 72(2023), 488–492.
- Akers, R.L., Sellers, C.S., Criminological Theories: Introduction, Evaluation, and Application, Oxford University Press, 2012.
- Alper, M., Durosse, M.R., Markman, J., Update on prisoner recidivism, NCJ 250975, (2018).
- Banks, H.T., Castillo-Chavez, C., Bioterrorism: Mathematical modeling applications in homeland security, Society for Industrial and Applied Mathematics, Philadelphia, PA, 2003.
- Becker, G., Crime and punishment: An economic approach, J. Politic. Econ. 76(1968), 169–217.
- Brauer, F., Driessche, P.V.D., Models for transmission of disease with immigration of infectives, Math. Biosci., 171(1995), 143–154.
- 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).
- 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.
- Clinard, M.B., Meier, R.F., Sociology of Deviant Behavior, Wadsworth, Belmont, 2010.
- Crane, J., The epidemic theory of ghettos and neighborhood effects on dropping out and teenage childbearing, Amer. J. Sociol., 96(1991), 1226–1259.
- Diekmann, O., Heesterbeek, J.A.P., Metz, J.A.J., On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations, J. Math. Biol., 28(4)(1990), 365–382.
- Driessche, P.V.D., Watmough, J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180(1)(2002), 29–48.
- Ehrlich, I., On the usefulness of controlling individuals: An economic analysis of rehabilitation, incapacitation and deterrence, Amer. Econ. Rev., 71(3)(1981), 307–322.
- FBI Report 2018, Crime in the Unite States, https://ucr.fbi.gov/crime-in-the-u.s/2018/crime-in-theu.s.-2018/topic-pages/nations-two-crimemeasures.
- Glueck, S., Glueck, E.T., Unravelling Juvenile Delinquency, Harvard University Press, Cambridge, 1950.
- Gordon, M.B., A random walk in the literature on criminality: A partial and critical view on some statistical analyses and modeling approaches, Eur. J. Appl. Math., 21(2010), 283–306.
- Hethcote, H.W., The mathematics of infectious diseases, SIAM Rev., 42(4)(2000), 599–653.
- Kretzschmar, M., Wallinga, J., Mathematical models in infectious disease epidemiology, Modern Infectious Disease Epidemiology, Springer New York, NY, (2009), 209–221.
- Lawson, D., Marion, G., An Introduction to Mathematical Modeling, Bioinformatics and Statistics Scotland, 2008.
- Lehrer, D., Trauma-informed care: The importance of understanding the incarcerated women, J. Correct. Health Care, 27(2)(2021), 121–126.
- Martin, J.A., Hamilton, B.E., Osterman, M.J.K., Births in the United States, 2022, NCHS Data Brief, 477(2023).
- McMillon, D., Simon, C.P., Morenoff, J., Modeling the underlying dynamics of the spread of crime, PLoS One, 9(4)(2014).
- Santonja, F.J., Tarazona, A.C., Villanueva, R.J., A mathematical model of the pressure of an extreme ideology on a society, Comput. Math. Appl., 56(2008), 836–846.
- Zhao, H., Feng, Z., Castillo-Chavez, C., The dynamics of poverty and crime, J. Shanghai Normal Univ., Nat. Sci. Math., 43(5)(2014), 486–495.