TY  - JOUR
TI  - Stability Thresholds and Bounded Hybrid Neural Modifiers in a Fractional HIV–CD4+ T-Cell Model
AU  - Okeke Ikenna Stephen
PY  - 2026
JO  - African Journal of Mathematics, Statistics and Computer Science
VL  - 2
IS  - 1
SP  - 1-11
DO  - 10.5281/zenodo.23135516
UR  - https://doi.org/10.5281/zenodo.23135516
AB  - A commensurate Caputo model of HIV infection of CD4+ T cells is analysed by separating biologically admissible equilibria from algebraic roots. Building on the fractional model of Okeke et al. [1] and the hybrid activation construction of Essang et al. [2], this study introduces bounded neural modifiers of infection and viral production rates. Explicit equilibrium expressions and an infection threshold are derived. The disease-free equilibrium is locally asymptotically stable below the threshold, while a unique positive endemic equilibrium exists and is locally asymptotically stable above it for every common order in $(0,1]$. A recalculation using the parameter values reported in [1] produces a stable endemic equilibrium, contrary to the published numerical classification. A conservative bound on neural modifiers provides a sufficient condition for local disease-free stability across fixed covariate settings. A completed numerical study reports dimensionless fractional trajectories, threshold surfaces, Jacobian spectra and time-step refinement. These results concern mathematical equilibria rather than clinical treatment efficacy.
ER  -