Modeling Transmission Patterns and Optimal Control through Nanotechnology: A Case Study of Malaria Causing Brain Disabilities

Abstract

This study introduces a novel approach to comprehensively understand and combat malaria transmission. A mathematical model is developed and validated using real-world data. It delves into various facets of transmission dynamics, including the malaria-free equilibrium, stability, parameter estimation, and the basic reproduction number. Sensitivity analysis uncovers key transmission factors, and three-dimensional plots aid in visualizing parameter impacts on the basic reproduction number. The vital link between malaria and severe brain disorders is explored through a comprehensive review of existing literature and case studies, emphasizing the critical necessity for effective disease management. To address this issue, control strategies like awareness initiatives, application of advanced nanotechnology for precise diagnosis and treatment, and mosquito population regulation are devised and analyzed graphically, offering insights for developing malaria eradication policies.