1 Department of Mathematics, Faculty of Physical Sciences, Federal University of Health Sciences, Otukpo, Benue State, Nigeria.
2 Department of Computer and Mathematical Sciences, Faculty of Sciences, University of Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
World Journal of Advanced Research and Reviews, 2026, 29(02), 1183-1200
Article DOI: 10.30574/wjarr.2026.29.2.0445
Received on 09 January 2026; revised on 21 February 2026; accepted on 23 February 2026
This study develops a deterministic mathematical model to examine insecurity in Nigeria as a structurally reinforced outcome of weak governance and socio-economic vulnerability. The model incorporates a governance feedback mechanism linking institutional breakdown to increased recruitment into insecurity, thereby capturing the cyclical interaction between vulnerability and instability. Analytical results establish a basic reproduction number R0​ that determines the persistence of insecurity. The insecurity-free equilibrium is stable when R0 <1, whereas a unique endemic equilibrium exists and is globally stable when R0​>1. Sensitivity analysis identifies governance failure and recruitment intensity as dominant drivers of persistent insecurity, while recovery and reintegration capacity significantly reduce long-term instability. Numerical simulations further demonstrate that modest improvements in institutional effectiveness can substantially lower endemic insecurity levels. The findings provide a quantitative framework for understanding insecurity as a governance-dependent transmission process and highlight structural reform as essential for sustainable security outcomes and to the best of the authors’ knowledge, this is the first model to incorporate governance feedback in insecurity dynamics in Nigeria.
Governance failure; Insecurity dynamics; Mathematical modeling; Reproduction number; Sensitivity analysis
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Mutah Wadai, Ibekwe Jacob John and Adem Kilicman. A mathematical model of insecurity dynamics in Nigeria driven by weak governance and institutional failure. World Journal of Advanced Research and Reviews, 2026, 29(2), 1183-1200. Article DOI: https://doi.org/10.30574/wjarr.2026.29.2.0445