Application of diagnostic network optimization [DNOs] to tackle antimicrobial resistance in Sub-Saharan Africa
Year: 2025
Type: article
Abstract: This perspective explores the application of Diagnostic Network Optimization (DNOs) in tackling antimicrobial resistance (AMR) in Sub-Saharan Africa. DNOs aim to enhance the effectiveness of diagnostic networks, ensuring timely, accurate, and accessible diagnostic services to combat AMR, which is exacerbated by the misuse of antibiotics and inadequate diagnostics in the region. The paper outlines the challenges of AMR in Sub-Saharan Africa, including limited healthcare infrastructure, socioeconomic factors, and the scarcity of diagnostic resources. It emphasizes the importance of integrating diagnostic tools, such as pathogen identification and antimicrobial susceptibility testing, to optimize patient care and minimize unnecessary antibiotic use. The proposed framework for DNO implementation includes steps like needs assessment, resource allocation, and infrastructure development, alongside technological innovations such as digital health, artificial intelligence, and portable diagnostics for remote areas. Additionally, we outline barriers to DNO implementation, such as financial constraints, insufficient training, and policy gaps. Case studies from global and regional initiatives highlight the effectiveness of DNOs in reducing AMR. The perspective concludes by advocating for strategic policy support and funding from governments, NGOs, and international organizations, alongside public–private partnerships, to ensure sustainable implementation of DNOs in the region.
Source: Discover Public Health
Authors: Stephen Olaide Aremu, Mariam Loliya Oruye, Egya Idris Adamu, Nankwop Markus Vuetkung, Duku Aondohemba Jonathan, Alpha Gimba Janjaro, Gaius Matthew, Elizabeth Oluwatoyin Adepoju, Pam Jerry Jiji, Phillip Luka Gimba, Godfrey Kwarakwasa, Bitrus Jatau Gonoyah, Donald Ibe Ofili, Oluwanifemi Rhoda Abiola, Akyala Ishaku Adamu
Institution: Nasarawa State University
Language: English
Subfield: Applied Microbiology and Biotechnology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4410601968
