Abstract

Cholera remains a persistent global health challenge, especially in regions with inadequate sanitation and limited access to clean water. The complex dynamics of cholera outbreaks necessitate effective treatment strategies that can adapt to evolving conditions. Optimal control techniques have emerged as valuable tools for designing and assessing such strategies, enabling the minimization of cholera's impact and the optimization of resource allocation. This article explores the application of optimal control techniques to manage cholera treatment dynamics by integrating mathematical modeling and optimization principles. The article discusses the challenges inherent in cholera treatment, introduces the fundamentals of optimal control techniques, outlines the process of modeling cholera dynamics, and emphasizes the benefits of this approach in achieving precision, adaptability, resource allocation, and cost-effectiveness in cholera management.