Dynamics of a novel discrete fractional model for maize streak epidemics with linear control

This paper delves into the pressing issue of the maize streak plant epidemic, recognizing its significance in the context of global food security and sustainable agriculture. To address this concern, we propose a novel approach utilizing a discrete fractional model to accurately simulate the dynamic spread of the virus within maize populations. Our model introduces a groundbreaking integration of fractional calculus, enabling a more precise representation of the epidemic's progression over time. We rigorously examine the biological plausibility of our model and conduct thorough sensitivity analyses to elucidate key factors influencing the epidemic dynamics. Additionally, stability assessments are performed to gauge the robustness of our model under various scenarios, highlighting its adaptability and reliability in predicting real-world outcomes. We also introduce an innovative linear feedback control mechanism tailored to our model framework, designed to optimize virus control strategies and mitigate the impact of maize streak virus outbreaks. By leveraging control theory principles, our work provides a strategic advantage in designing effective interventions, contributing to the broader goal of safeguarding agricultural productivity. Numerical simulations complement theoretical findings, providing valuable insights into the efficacy of our proposed model and control strategy in practical scenarios, thereby reinforcing the novel contributions of this study to the field of epidemic modeling.