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Updated: Feb 27, 2026

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics
Published on: July 19, 2024
A national framework for an antimicrobial resistance surveillance system within Iranian healthcare facilities:
Reza Safdari1, Marjan GhaziSaeedi1, Hossein Masoumi-Asl2
1Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Objectives:
The threat of antimicrobial resistance (AMR) is growing rapidly, perhaps more dramatically in developing countries. A demand to monitor, surveil and predict AMR has prompted the design and implementation of AMR surveillance systems (AMRSSs) at all geographic levels, especially in the national context. This study reviewed AMRSSs in leading countries and organisations in order to customise a comprehensive framework for a national system in Iran.
Methods:
The research was conducted in two phases: a review of the literature and comparative analysis; and a knowledge, attitude and practice study. In the first phase, the AMRSSs of pioneering organisations and countries were reviewed by examining related documents. In the second phase, important components for the Iranian national system were determined on the basis of the World Health Organization's Global Antimicrobial Resistance Surveillance System (WHO GLASS).
Results:
This study determined the surveillance methods, priority specimens and pathogens, testing methods, reporting protocols and scheduling, recommended data sets, and tools and information flow necessary for the Iranian system. On this basis, a national framework was developed using the class and activity diagrams in Unified Modelling Language. A context diagram was also designed on the basis of a generic biosurveillance architecture.
Conclusions:
The design and implementation of a national AMRSS for Iranian healthcare facilities is critically required because of irrational antimicrobial use in Iran and insufficient data regarding its consequences.
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