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September 10, 2025African Journal of Empirical ResearchOpen Access

Mathematical modeling of burglary dynamics incorporating unemployment in Kenya

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Authors

YSYongo Cliff SingahJNJoyce K. NthiiriFTFrankline Tireito

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Overview

Deterministic model shows unemployment drives burglary rates in Kenya, suggesting employment can reduce crime.

Key Points

  • Increased job opportunities significantly lower the incidence of burglary, demonstrating clear socioeconomic impacts.
  • The effective reproduction number Re is critical for analyzing both burglary-free and endemic equilibrium points.
  • Sensitivity analysis indicates that the employment rate is the most crucial factor for controlling burglary rates.
  • Mathematical modeling offers a framework to explore crime dynamics, integrating socioeconomic variables like unemployment.

Cite This Study

Singah et al. (2025) studied this question.

synapsesocial.com/papers/68c1d97154b1d3bfb60fad8dhttps://doi.org/10.51867/ajernet.maths.6.3.5.61
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