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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Innovative supply chain solutions for disease control in rural areas: A data-driven approach

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Abstract

This research paper explores innovative supply chain solutions and data-driven approaches for improving disease control in rural areas. The study identifies the unique challenges rural healthcare systems face, including infrastructural limitations, resource constraints, accessibility issues, and data limitations. It emphasizes the potential of advanced technologies such as IoT, blockchain, and drones to enhance supply chain efficiency and transparency. The paper also highlights the importance of process improvements like real-time tracking, predictive analytics, and automated inventory management. Collaborative approaches involving partnerships between government, private sector, and non-profits are discussed as crucial for driving innovation. The findings have significant implications for policymakers and practitioners, underscoring the need for investment in technology, data integration, and sustainable practices. Recommendations for implementation and future research directions are provided to explore further and address the challenges in rural healthcare supply chains.

 

How to Cite This Article

Patience Okpeke Paul, Nsisong Louis Eyo-Udo, Ekene Cynthia Onukwulu, Mercy Odochi Agho, Anate Benoit Nicaise Abbey (2025). Innovative supply chain solutions for disease control in rural areas: A data-driven approach . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(1), 713-718.

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