QAAPT is a free web-based platform developed by CAPTURA for the analysis of AMR data.
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Course Name: WHONET-FAMR 2025: Fungal AMR Data Training Workshop

In this workshop, participants will gain hands-on experience in configuring laboratories in WHONET, performing data entry, and conducting comprehensive data analysis using both predefined and customized reports. The training will also include BacLink data conversion techniques and integration of WHONET data analysis with the QAAPT software for enhanced reporting and visualization. This specialized course is tailored for the Institute for Medical Research (IMR) and the National Institutes of Health (NIH), Malaysia, with a focus on fungal antimicrobial resistance (AMR) surveillance in tertiary care settings.

WHONET is a free desktop Windows application for the management and analysis of microbiology laboratory data with a particular focus on antimicrobial resistance surveillance developed and supported by the WHO Collaborating Centre for Surveillance of Antimicrobial Resistance at the Brigham and Women's Hospital in Boston, Massachusetts.

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.

QAAPT AMR Academy
Cost: 0
4 days left
Starting date
Skill Level
Mode
Period
Organized by
Resource Person

Course Content

  • Day 01 08 July 2025
  • Day 02 09 July 2025
  • Day 03 10 July 2025
  • Day 1: Session Plan
    # Time Session Speaker Duration
    1 8:00 – 9:00 am Registration for participants All Participants 60 Min
    2 9:00 – 9:10 am Opening Speech and Introduction to the Resource Person Dr. Rohaidah Hashim 10 Min
    3 9:10 – 10:00 am Overview of National Antibiotic Susceptibility report Coordinator 50 Min
    4 10:00 – 10:30 am Introduction to the Course and AMR data management cycle Julhas Sujan, Data Science Engineer, IVI 30 Min
    5 10:30 – 11:00 am Tea break
    6 11:00 – 11:15 am Pre-Test using SurveyAMR.com platform All Participants 15 Min
    7 11:15 – 11:30 am
    • Introduction to WHONET
    • Julhas Sujan
    		15 Min
    8 11:30 – 1:00 pm
    • - WHONET Download, Installation and Configuration
    • Julhas Sujan
    		90 Min
    9 1.00 – 2.00 pm Lunch Break
    10 2.00 – 3.00 pm
    • - Laboratory configuration (Continue)
    • - Data entry
    • Julhas Sujan
    		60 Min
    11 3.00 - 4.30 pm
    • - Data entry (Continue)
    • - Report print
    • - Excel data export
    • - Assignment
    • Julhas Sujan
    		90 Min
    12 4:30 - 4:45 pm
    • Q/A
    • All Participants
    		15 Min
    13 4:45 – 5:00 pm Adjourned and tea time
  • Resources: Introduction to International Vaccine Institute
  • Pre Test Questionnaire
  • Resources: AMR Data Management Best Practices and Tools
  • Resources: Statistical Methods for Antimicrobial Susceptibility Testing Data
  • Resources: Introduction to WHONET
  • Resources: WHONET Download, Installation and Laboratory Configuration, Data entry, BacLink Conversion (User Manual)
  • Video: WHONET Download and Installation
  • SQLite Browser to Export WHONET data as CSV format
    Download: https://sqlitebrowser.org/dl/
  • WHONET Resources
    • WHONET Website: https://whonet.org/
    • WHONET Training Center: https://whonet.org/training.html
    • WHONET Community: https://community.whonet.org/login
    • WHONET Organism/ Specimen and Antibiotic short code: https://qaapt.com/whonet/code/finder
  • Day 2: Session Plan
    # Time Session Speaker Duration
    1 8:00 – 8:30 am
    • Breakfast and Day 2 Registration
    		 All participants 30 Min
    2 8:30 – 10:00 am
    • - Recap of Day 1
    • - Installation and configuration issue resolve at the individual level participants
    • - WHONET Existing Version Upgradation
    		 Julhas Sujan 90 Min
    3 10:00 – 10:30 am
    • - Introduction to BacLink
    • - BacLink Configuration
    • - Sample Dataset Download
    		 Julhas Sujan 30 Min
    4 10:30 – 11:00 am Tea break
    4 11:00 – 1:00 pm
    • - BacLink conversion (Configuration, Data conversion, and Code mapping)
    • - Sample dataset download
    • - Dataset preparation
    • - Open BacLink software
    • - New file format configuration
    • - Antibiotics mapping
    • - Data fields mapping
    • - Location mapping
    • - Saving configuration
    • - Running conversion
    • - Inspecting conversion
    • - Update unrecognized codes
    • - Editing configuration
    • - And open with WHONET file to analyze data
    • -Julhas Sujan
    		120 Min
    5 1:00 – 2:00 pm Lunch Break
    6 2:00 – 3:30 pm
    • - BacLink recap
    • - Basic data analysis and reporting
    • - Data analysis - Quick analysis
    • - WHONET Standard Report
    • - Patient and sample statistics
    • - Organism and antibiotic statistics
    • - Isolate alerts
    • - Epidemiology Report
    • - Test practice and quality report
    • -Julhas Sujan
    		90 Min
    7 3:30 – 4:30 pm
    • - GLASS Reporting
    • - WHONET data export as CSV/Excel file
    • - Homework to develop a decision making report for a hospital
    • -Julhas Sujan
    		60 Min
    8 4:30 - 4:45 pm
    • Q/A
    • All Participants
    		15 Min
    9 4:45 – 5:00 pm Adjourned and tea time
  • Sample Dataset for BacLink Conversion
    Dataset Name Download Link
    WHONET SQLite Sample Dataset Click here to download
    WHONET CSV File Sample Dataset Click here to download
    LIS Sample Dataset Click here to download
    Vitek 2 Sample Dataset - .txt format (Source WHONET) Click here to download
    Vitek 2 Sample Dataset - .csv format (Source WHONET) Click here to download
    WHONET WHO Sample Dataset - SQLite File Click here to download
    Fungal AMR Sample Dataset - Excel Format Click here to download
    Fungal AMR Sample Dataset - CSV Format Click here to download
  • Day 3: Session Plan
    # Time Session Speaker Duration
    1 8:00 – 8:30 am
    • Breakfast and Day 3 Registration
    		 All participants 30 Min
    2 8:30 – 9:30 am
    • - Recap of Day 2 and BacLink issue resolve
    • - Homework check
    		Julhas Sujan 60 Min
    3 9:30 – 10:30 am
    • - Data analysis - Custom reporting by Organism and Isolates
    • - Isolate listing and summary
    • - %RIS and test measurements
    • - Resistance profile
    • - Microbiological alerts
    • - Saving Results
    • - GLASS Reporting
    • - Homework
    		Julhas Sujan 60 Min
    4 10:30 – 11:00 am Tea break
    5 11:00 – 11:30 am
    • - Understanding Fungal Infections and Their Impact
    • - Surveillance & Stewardship
    • - Dr. Murnihayati Hassan, Clinical Microbiologist
    • - Dr. Rohaidah Hashim
    		 30 Min
    6 11:30 – 1:00 pm
    • - Data Analysis for Antifungal Susceptibility Testing (AFST)
    • - FAMR Data Analysis Handson
    • - Download Fungal Dataset
    • - BacLink Conversion
    • - Analysis and Reporting
    • - Julhas Sujan
    		 90 Min
    7 1:00 – 2:00 pm Lunch Break
    8 2:00 – 3:10 pm
    • -
    		70 Min
    9 3:10 – 3:45 pm
    • - Individual Group Presentation (5 Mins for each group)
    • - All Participants
    		35 Min
    10 3:45 – 4:00 pm
    • - Q/A and Troubleshooting Problems Faced by users
    • - All Participants
    		15 Min
    11 4:00 – 4:20 pm
    • - Final Test (20 min) using SurveyAMR.com platform
    • - Training Evaluation/ Feedback (10 min)
    • - Support and Communication Channel with Julhas Sujan
    • - Julhas Sujan
    		20 Min
    12 4:20 – 4:45 pm
    • - Closing Ceremony
    • - All Participants
    • - Dr. Rohaidah Hashim
    		25 Min
  • Group work - Antibiogram Development
    ... Will be uploaded soon
  • Understanding Fungal Infections and Data Analysis
  • Resources: QAAPT Introduction
  • Resources: AMR Data Interpretation
  • Final Test
  • Training evaluation (https://surveyamr.com/): Please use the default email as evaluation@surveyamr.com