Control Measures for Alzheimer Disease: A Mathematical Approach

Abstract

Mathematical models can give us good understanding of how diseases progress, and provide us useful prevention, control strategies and guidance. To investigate the dynamics of Alzheimer's disease (AD) we proposed a model system. The proposed model is solved analytically to plan and prepare most effective control measure. We also perform numerical simulation using Runge- Kutta method and finite difference scheme. The dissemination of thesis results will be particularly directed toward scientists and to biological decision-makers, to raise awareness on the potential risks associated with drugs and promote gamma waves therapy as an alternative AD therapy. By the end of this work a policy piece will be prepared to discuss the relevance of the project's findings for designing rehabilitation or therapeutic strategies and might provide promising prospects for clinical interventions for Alzheimer's disease.