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Quantitative approaches to sustainable health development: a comprehensive review

Year: 2025

Type: article

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.

Source: Moroccan Journal of Quantitative and Qualitative Research

DOI: 10.48379/imist.prsm/mjqr-v7i1.55786

Authors: Ibrahim, Jamiu Omotola, Towolawi, Taofik Adeleke, Abdurrahman, Nurat Olamide, Tijani, Kamiludeen Rotimi, Owolabi, Abiodun Abebayo

Institutions: Fountain University, Federal University of Technology Minna, Osun State University, Thomas Adewumi University

Language: English

Topic: Healthcare Systems and Practices

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W6947900800

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