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Updated: May 26, 2025

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QAAPT: an interoperable web-based open-source tool for antimicrobial resistance data analysis and visualisation.

Mohammad Julhas Sujan1, Sanjay Gautam1, Ahmed Taha Aboushady2

  • 1Department of Antimocrobial Resistance, International Vaccine Institute, Seoul, Republic of Korea.

Frontiers in Microbiology
|February 24, 2025
PubMed
Summary
This summary is machine-generated.

A new open-source tool, Quick Analysis of Antimicrobial Patterns and Trends (QAAPT), simplifies antimicrobial resistance (AMR) data analysis and visualization. This user-friendly application aids low-resource settings in tracking AMR trends effectively.

Keywords:
antimicrobial resistancedata analysisdata visualisationlow-middle-income countriessurveillance

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Area of Science:

  • Public Health
  • Infectious Disease Epidemiology
  • Bioinformatics

Background:

  • Antimicrobial resistance (AMR) surveillance is critical, particularly in low- and middle-income countries facing high burdens.
  • Effective analysis and visualization of AMR data present significant challenges in these regions.

Purpose of the Study:

  • To describe the design, development, integration, and implementation of the Quick Analysis of Antimicrobial Patterns and Trends (QAAPT) tool.
  • To provide an open-source, user-friendly solution for AMR data analysis and visualization.

Main Methods:

  • Developed an open-source, web-based application (QAAPT) for AMR data analysis and visualization.
  • Integrated data curation options and compatibility with laboratory information management systems.
  • Tested the tool's usability with individuals possessing limited programming expertise.

Main Results:

  • The QAAPT tool was successfully implemented across 72 laboratories in 7 Asian countries.
  • Analyzed over 2.37 million heterogeneous antimicrobial susceptibility test data points.
  • Generated statistical and visual outputs, demonstrating the tool's capability in handling large, complex AMR datasets.

Conclusions:

  • The QAAPT tool offers a practical and accessible solution for AMR surveillance data analysis and visualization.
  • Facilitates improved understanding and management of antimicrobial resistance, especially in resource-limited settings.
  • The tool's open-source nature and ease of use promote wider adoption and collaboration in global AMR efforts.