QAAPT is a free web-based platform developed by CAPTURA for the analysis of AMR data.
Welcome to QAAPT
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. Moreover, QAAPT's 'qLoad' data conversion module enables the conversion of LIS datasets, while its web application programming interface (API) facilitates integration with live surveillance dashboards or health/laboratory information systems. Read more: Click here.
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Total Lab users
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Number of countries
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South Asia
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Southeast Asia
Manage multiple projects and datasets
QAAPT allows you to upload multple datasets that might be export from WHONET or any other LIS.
Import raw data dicrectly from CSV
Users can upload WHONET isolates or others CSV datasets directly in this platform.
Automatically determine clinical R/I/S categories
QAAPT can determine R/I/S as well as Zone of Inhibination values.
Explore data using advanced filters
Multiple search option will allow you to filter specific organisms or specimens.
Donwload reports as different formats as graphs, tables
QAAPT allows to download reports as PNG, JPG, EXCEL, CSV, PDF, and TABLE.
Generate Hospital Antibiogram by a single click
You can regularly generate your Hospital antibiogram by a single click.
Observe registance patterns over the priod
QAAPT allows to plot resistance patterns over the period of your dataset.
Observe susceptibility trends over the priod
You can see the susceptibility patterns of the multiple organisms over the period.
Interoperability with WHONET datasets
It can read WHONET dataset every easily and quichly. Export and upload WHONET file in QAAPT.
Watch the quick video
How it works
Step-1
WHONET
WHONET
Export WHONET Data as CSV
QAAPT allows you to export WHONET dataset from the "Data Analysis" module as well as QSLite Database Browser.
Step-2
QAAPT
QAAPT
Visit QAAPT App and Login
You can create your own account and import datasets to analyze. No one will be authorized to access your dataset.
Step-3
QAAPT
QAAPT
Import WHONET Dataset into QAAPT
After exporting the CSV file from WHONET, you require to login into QAAPT dashboard and import the dataset.
Step-4
Dashboard
Dashboard
Select dataset and generate dashboard
In this final stage, you can select your datasets and observe dashboard reports.
Recent publications
Antimicrobial Resistance Surveillance Methods in Bangladesh: Present and Way Forward
Mohammad Julhas Sujan, Zakir Hossain Habib, Aninda Rahman, S M Shahriar Rizvi, Hridika Talukder Barua, Ahmed Taha Aboushady, Md Abul Hasnat, Saima Binte Golam Rasul, Hea Sun Joh, Kristi Prifti, Kyu-young Kevin Chi, Soo Young Kwon, Adam Clark, Sanjay Gautam, Marianne Holm, Florian Marks, John Stelling, Alina Shaw, Nimesh Poudyal
Key Recommendations for Antimicrobial Resistance Surveillance: Takeaways From the CAPTURA Project
Ahmed Taha Aboushady, Mohammad Julhas Sujan, Kien Pham, Adam Clark, Florian Marks, Marianne Holm, Hea Sun Joh, Nimesh Poudyal, John Stelling
Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA)
Marianne Holm, William R MacWright, Nimesh Poudyal, Alina G Shaw, Hea Sun Joh, Patrick F Gallagher, Jong-Hoon Kim, Affan T Shaikh, Hye Jin Seo, Soo Young Kwon, Kristi Prifti, Brooke Dolabella, Ben E W Taylor, Corin Yeats, David M Aanensen, John Stelling, Florian Marks
Methodological Approach to Identify and Expand the Volume of Antimicrobial Resistance (AMR) Data in the Human Health Sector in Low- and Middle-Income Countries in Asia: Implications for Local and Regional AMR Surveillance Systems Strengthening
Hea Sun Joh, Corin Yeats, Alina Shaw, Nimesh Poudyal, Patrick Gallagher, Jong-Hoon Kim, Affan Shaikh, Hye Jin Seo, Kyu-young Kevin Chi, Kristi Prifti, Alyssa Cho, Mohammad Julhas Sujan, Emmanuel Eraly, Kien Duc Pham, Subha Shrestha, Ahmed Taha Aboushady, Gideok Pak, GeunHyeog Jang, Eun Lyeong Park, Hyeong-Won Seo, Khalil Abudahab, Ben E W Taylor, Adam Clark, Brooke Dolabella, Hyein Yoon, Jihyun Han, Soo Young Kwon, Florian Marks, John Stelling, David M Aanensen, William R MacWright, Marianne Holm
Effective Stakeholder Engagement for Collation, Analysis and Expansion of Antimicrobial Resistance (AMR) Data: A CAPTURA Experience
Nimesh Poudyal, Marianne Holm, Hea Sun Joh, Sanjay Gautam, Mohammad Julhas Sujan, Soo Young Kwon, Affan Sahikh, Alina Shaw, Partick Gallagher, Kristi Prifti, Alyssa Cho, Kyu-young Kevin Chi, Ahmed Taha Aboushady, William R MacWright, John Stelling, Florian Marks
Collecting Multi-country Retrospective Antimicrobial Consumption and Use Data: Challenges and Experience
Kristi Prifti, Kyu-young Kevin Chi, Emmanuel Eraly, Hea Sun Joh, Mohammad Julhas Sujan, Nimesh Poudyal, Florian Marks, Marianne Holm
Utility and Evaluation of Applied Project Management Processes Within a Large Multicountry Health Systems Development Project Conducted During the Coronavirus Disease 2019 (COVID-19) Pandemic
Soo Young Kwon, Sanjay Gautam, Kritika Poudel, Hasini Banneheke, Delfim Ferreira, Manish Gautam, Michelle Hau'ofa, Nashmia Mahmood, Bouahome Phommalad, Mohammad Julhas Sujan, Pema Yangzom, Hea Sun Joh, Alina Shaw, Brooke Dolabella, Hye Jin Seo, Jong-Hoon Kim, Partick Gallagher, William R MacWright, Nimesh Poudyal, Florian Marks, Marianne Holm
Recording and Reporting of Antimicrobial Resistance (AMR) Priority Variables and Its Implication on Expanding Surveillance Sites in Nepal: A CAPTURA Experience
Sanju Maharjan, Patrick Gallagher, Manish Gautam, Hea Sun Joh, Mohammad Julhas Sujan, Ahmed Taha Aboushady, Soo Young Kwon, Sanjay Gautam, Madan Kumar Upadhyaya, Runa Jha, Jyoti Acharya, William R MacWright, Florian Marks, John Stelling, Nimesh Poudyal
Regional and National Trends in Consumption of Antimicrobials in Pakistan; Pre and Post-COVID (2019–2021)
Tauqeer Mustafa, Muhammad Rehan Khan Niazi, Zahra Lakdawala, Shaper Mirza
Considerations for Expanding Antimicrobial Resistance Surveillance Networks
Patrick Gallagher, Alina Shaw, Amit Bhandari, Nimesh Poudyal, Marianne Holm, William R MacWright
Evaluating Quality Management and Diagnostics Microbiology Performance Within an International External Quality Assessment (EQA) Program Serving National One Health Sector Reference Laboratories Across Asia: Experience Amid the Coronavirus Disease 2019 (COVID-19) Pandemic
Freshwork Ayalew Abegaz, Patrícia Teixeira dos Santos, Ondari D Mogeni, Tobin Guarnacci, Nimesh Poudyal, Jinhui Hong, Soo Young Kwon, Rikke Braae, Rangsiya Prathan, Taradon Luang Tongkum, Watcharaporn Kamjumpho, Rungtip Chuanchuen, Florian Marks, Rene S Hendriksen, Marianne Holm
Vaccination to Reduce Antimicrobial Resistance Burden—Data Gaps and Future Research
Birkneh Tilahun Tadesse, Karen H Keddy, Natasha Y Rickett, Aidai Zhusupbekova, Nimesh Poudyal, Trevor Lawley, Majdi Osman, Gordon Dougan, Jerome H Kim, Jung-Seok Lee, Hyon Jin Jeon, Florian Marks
The Reality of Antimicrobial Resistance and Antibiotic Usage Data in Asia: The CAPTURA Experience
Toby Leslie, Claudia Parry, Pascale Ondoa, Timothy Walsh, Catrin Moore, Nimesh Poudyal, Florian Marks, N Claire Gordon
