QAAPT is a free web-based platform developed by CAPTURA for the analysis of AMR data.
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Course Name: WHONET & QAAPT: Human Health AMR Data Management and Analysis in Bangladesh

Description

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.

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.

Venue: Ankita Karishma, 14th floor, The Hotel Amari, Gulshan, Dhaka.
John Stelling
John Stelling
Founder, WHONET
Zakir H. Habib
Zakir H. Habib
Head, Dept of Microbiology
Shahriar Rizvi
Shahriar Rizvi
Medical Microbiologist
Saima Binte-Golam Rasul
Saima Binte-Golam Rasul
Epidemiologist
Shakawat Hossain
Shakawat Hossain
Software Developer
Julhas Sujan
Julhas Sujan
Data Science Engineer
QAAPT AMR Academy
Cost
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Starting Date
Skill Level
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Supported By
 Fleming Fund Country Grant to Bangladesh, WHONET Strategic Alingment Grant and CAPTURA/IVI
Resource Persons
Status

Course Content

  • Day 01 26 Jan 2025
  • Day 02 27 Jan 2025
  • Day 1: Session Plan
    # Time Session Speaker Duration
    1 9:00-9:30 AM Registration/Academy Portal Sign-up All Participants 30 Min
    2 9:30-9:45 AM Introduction, Training objectives, Opening Remarks FFCG, DAI/ CDC/ IEDCR/ IVI 15 Min
    3 9:45-9:55 AM Bangladesh AMR Surveillance and Data Management Saima Binte-Golam Rasul, IEDCR 10 Min
    4 9:55 - 10:10 AM Pre-evaluation All Participants 15 Min
    5 10:10 - 10:45 AM
    • - Introduction on WHONET, Background, and Data Management
    		John Stelling/ Julhas Sujan 35 Min
    6 10:45 - 11:10 AM Tea break and Photo Session
    7 11:10 - 12:00 PM
    • - WHONET Installation/Upgradation
    • - Configuration
    • - John Stelling, Julhas Sujan
    		50 Min
    8 12:00 - 1:00 PM
    • - WHONET Data Entry
    • - Data Analysis: WHONET Standard report, specimen statistics, organism statistics
    • - WHONET Epidemiology and Quality Control Reports
    • - Hands-on exercise by participant
    • - John Stelling, Julhas Sujan
    		60 Min
    9 1:00 - 2:00 PM Lunch Break
    10 2:00 - 3:00 PM
    • - Custom analysis including MDR, XDR, Data Export
    • - Hands-on exercise: Antibiogram Development
    • - Group Work
    • - John Stelling, Julhas Sujan
    		 60 Min
    11 3:00 - 4:15 PM
    • - Introduction to BacLink
    • - Sample Dataset Download
    • - Hands-on: BacLink Data Conversion
    • - John Stelling, Julhas Sujan
    		 75 Min
    12 4:15 – 4:30 PM Tea Break
    13 4:30-5:00 PM
    • - Open Discussion and QA
    • - Closing
    • - All Participant
    		30 Min
  • Presentation: Bangladesh AMR Surveillance and Data Management
    Download: Unable to view Click here
  • 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
  • Sample Dataset for BacLink Conversion
    Download: click here
  • 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 9:30-10:00 AM
    • - Recap of Day 1
    • - Q/A
    		Julhas Sujan 30 Min
    2 10:00-10:20 AM
    • How does the National Surveillance System support AMR Data Management at local level?
    		 Md. Shakawat Hossain, IEDCR 20 Min
    3 10:20-10:35 AM Tea break
    4 10:35 - 12:00 PM
    • - BacLink Recap
    • - Hands-on: Data Analysis using the BacLink converted dataset
    • - Antibiogram Development Consideration
    • - Own hospital antibiogram development using WHONET
    • - John Stelling
    • - Shahriar Rizvi
    • - Julhas Sujan
    		85 Min
    5 12:00 - 1:00 PM
    • Introduction to QAAPT and Laboratory Registration
    • Julhas Sujan
    		 60 Min
    6 1.00 – 2.00 pm Lunch Break
    7 2:00 - 3:30 PM
    • - qLoad: WHONET and QAAPT integration
    • - qLoad: Any LIS Dataset Conversion
    • - qLoad: Live Dashboard/ Surveillance System Integration
    • - qLoad: Datasets combination, Download, Deletion
    • - Dashboard: Demographic Reports
    • - Dashboard: Trends and Patterns generation
    • - Dashboard: Antibiogram development
    • - Dashboard: AMR Data Modeling and Resistance Prediction
    • -Julhas Sujan
    		90 Min
    8 3:30 - 3:45 PM Tea break
    9 3:45 – 4:30 PM
    • QAAPT Hands-on exercise
    • All Participant
    		45 Min
    10 4:30 – 4:45 PM
    • Post Evaluation
    • All Participant
    		15 Min
    11 4:45 – 5:00 PM
    • Training Evaluation
    • All Participant
    		15 Min
    12 5:00 PM
    • Closing Remarks
    • FFCG/CDC/IEDCR/IVI
    		15 Min
  • Sample Dataset for qLoad Conversion
    Download: click here
  • Resources: AMR Data Interpretation
  • Resources: QAAPT Introduction
  • Final Test
  • Training evaluation (https://surveyamr.com/): Please use the default email as evaluation@surveyamr.com