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.

This course covers the AMR data management cycle, configuring laboratories in WHONET, data entry, data analysis using predefined and custom reports, and BacLink data conversion. It also includes an introduction to QAAPT, qLoad data conversion for any LIS dataset, WHONET dataset import, analysis, and antibiogram development using QAAPT software. Designed specifically for public and private hospitals contributing AMR data to the national surveillance system, the course is jointly supported by the Fleming Fund Country Grant to Bangladesh, the WHONET Strategic Alignment Grant, and CAPTURA/International Vaccine Institute and organized by CDC & IEDCR, DGHS.

In this course, you will learn how to configure a laboratory in WHONET, perform data entry, analyze data using both predefined and custom reports, and carry out BacLink data conversion. It will also cover WHONET data analysis using the QAAPT software. This course is specifically designed for the Institute for Medical Research and the National Institutes of Health, Malaysia.

In this course, you will gain a comprehensive understanding of WHONET, including troubleshooting common issues, BacLink data conversion, and advanced features; QAAPT qLoad for data integration, as well as generating trends, patterns, and antibiograms. This course is specifically designed for the Institute for Medical Research and the National Institutes of Health, Malaysia.

This tutorial demonstrates how to analyze retrospective data collected by CAPTURA in WHONET format.

This tutorial demonstrates how to export WHONET raw data and prepare it for QAAPT import. This step by step guideline will help you in two ways to export WHONET data.

By the end of this course, you will have gained expertise in best practices for AMR data collection, management, analysis and scientific writing using WHONET and BacLink as well as QAAPT and qLoad.

Upon completing the course, you will have a comprehensive understanding of WHONET, including an overview of the platform, best practices for quality data generation, downloading and installation, configuration, data entry, BacLink integration, and data analysis.

Upon completing the course, you will have a thorough understanding of WHONET, covering an in-depth overview of the platform, methods for generating high-quality data, steps for downloading and installing the software, configuration settings, data entry processes, integration with BacLink for data conversion, and comprehensive data analysis techniques.