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

The analysis and visualisation of antimicrobial resistance (AMR) surveillance data is a crucial challenge, especially in high-burden, low-middle-income countries. We describe the design, development, integration, and implementation of the Quick Analysis of Antimicrobial Patterns and Trends (QAAPT) tool for AMR data analysis and visualisation. The QAAPT tool was created by the Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia project, led by the International Vaccine Institute (IVI). This open-source web-based tool/application generates statistical and visual outputs of AMR data, offers data curation options, and can be integrated with laboratory information management systems. The QAAPT tool is user-friendly and is operable by someone with limited expertise in software or programming. As a part of the project, the tool was used to analyse data from 72 laboratories across 7 Asian countries. In this study, we present the technical aspects of tool development and highlight implementation outcomes for analysing and generating visual reports from more than 2.37 million highly heterogeneous antimicrobial susceptibility test data points.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-02-07
DOI
https://doi.org/10.3389/fmicb.2025.1513454
Citations
3
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
3.79

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article

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

Ahmed Taha Aboushady, Florian Marks, Hea Sun Joh, Soo-Young Kwon et al.
3 citations
Frontiers in Microbiology
Antibiotic Use and Resistance
3.79
article

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

Ahmed Taha Aboushady, Florian Marks, Hea Sun Joh, Soo-Young Kwon, John M. Stelling, Adam Clark, Mohammad Julhas Sujan, Nimesh Poudyal, Sanjay Gautam, Marianne Holm
article en
3 citations

Abstract

The analysis and visualisation of antimicrobial resistance (AMR) surveillance data is a crucial challenge, especially in high-burden, low-middle-income countries. We describe the design, development, integration, and implementation of the Quick Analysis of Antimicrobial Patterns and Trends (QAAPT) tool for AMR data analysis and visualisation. The QAAPT tool was created by the Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia project, led by the International Vaccine Institute (IVI). This open-source web-based tool/application generates statistical and visual outputs of AMR data, offers data curation options, and can be integrated with laboratory information management systems. The QAAPT tool is user-friendly and is operable by someone with limited expertise in software or programming. As a part of the project, the tool was used to analyse data from 72 laboratories across 7 Asian countries. In this study, we present the technical aspects of tool development and highlight implementation outcomes for analysing and generating visual reports from more than 2.37 million highly heterogeneous antimicrobial susceptibility test data points.

Frontiers in MicrobiologyVol. 16
Brigham and Women's Hospital (US), International Vaccine Institute (KR), Harvard University (US), University of Antananarivo (MG), Heidelberg University (DE), University of Cambridge (GB), University Hospital Heidelberg (DE)
Brigham and Women's Hospital
Partnerships for the goals
Openalex Percentile: Top 8%
Antibiotic Use and Resistance
3.79
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