Quantitative approaches to sustainable health development: a comprehensive review

Abstract

Recently, there has been a need for quantitative expression of diseases, health resources, medical challenges, and health systems through modeling, allocation, predictive analytics, and optimization. This review paper provides a comprehensive overview of mathematical applications in sustainable health development. Thus, the review examines the role of mathematical modeling, machine learning, biostatistics, and operations research in addressing complex health challenges. The Potential of mathematical applications to inform evidence-based decision-making, improve disease prevention and control, and enhance healthcare delivery was discussed. The paper also identifies gaps in current research and proposes future directions for mathematical applications in sustainable health development. The review has provided a valuable resource for researchers, policymakers, and healthcare professionals seeking to leverage mathematical applications for improved health outcomes