Course Name: Advanced AMR Data Analysis with QAAPT in Seoul, South Korea

This training will provide in-depth insights into the AMR data management lifecycle, covering essential aspects of data handling and analysis. Participants will be introduced to QAAPT, including laboratory registration, dataset preparation, and integration of various data sources such as WHONET, Vitek 2, and LIS Excel files. The session will also explore live dashboard integration and data import using the qLoad module. Attendees will learn about data curation, downloading raw and cleaned datasets, and leveraging interactive dashboards for data visualization and report generation.
Additionally, the training will delve into advanced analytical techniques using Machine Learning and Generative AI, equipping participants with cutting-edge tools for AMR surveillance and decision-making. The training is organized by the CAPTURA Project, International Vaccine Institute.

QAAPT, which stands for Quick Analysis of Antimicrobial Patterns and Trends, is a free, web-based tool for visualizing antimicrobial resistance data. Developed by the CAPTURA project, QAAPT is designed for use by decision-makers, including healthcare professionals, national AMR coordinators, microbiologists, technologists, and practitioners involved in AMR surveillance or microbiology laboratory work. It seamlessly integrates with WHONET software, allowing for the direct importation of WHONET SQLITE and CSV files.

Julhas Sujan

Data Science Engineer