FRACTIONAL-ORDER MODELING OF CO-INFECTION DYNAMICS IN EBOLA AND NIPAH VIRUS TRANSMISSION: A QUALITATIVE AND NUMERICAL ANALYSIS

Abstract

This study presents a fractional-order model for EBOV-NIV co-infection dynamics in humans and fruit bats using the Atangana-Baleanu derivative. Fixed-point theory and Hyers-Ulam stability establish existence, uniqueness, and model stability. Fractional-order derivatives outperform integer-order models in capturing memory-dependent transmission. Numerical simulations (α = 0:99 vs. 1:0) reveal significant recovery rate inuence on co-infection peaks and persistence. The approach aligns with real epidemiological patterns and supports targeted control strategies.