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The CAPTURA Project


The UK Government established the Fleming Fund to respond to the global threat of antimicrobial resistance (AMR). The Fleming Fund Regional Grants Round 1 included a “call for data”, which aimed to expand the volume of historical and current data available on AMR and antimicrobial use (AMU) across regions in Africa and Asia.

The CAPTURA consortium was awarded two regional grants to work with 12 countries in South and South East Asia to collect and analyse retrospective data on AMR and AMU in the human health sector.
CAPTURA aims to increase the volume of AMR and AMU data in the region, which led to identifying, collecting, grading and analysing retrospective AMR/C/U data. During these activities, substantial amount of capacity building took place strengthening the AMR surveillance system in place.

CAPTURA worked with local governments to identify and subsequently assess the quality of available data on AMR and AMU. Relevant data was collated and analysed to provide meta-data and give regional and inter-regional context. The project also helped identify gaps in data and areas for quality improvement that can be addressed in future initiatives to strengthen surveillance capacity. The information generated by the project will be used to improve awareness, advocacy, policy, and interventions needed to combat AMR and antimicrobial misuse.



The CAPTURA Consortium


The CAPTURA consortium is led by the International Vaccine Institute (IVI). IVI oversaw the overall management of the grant as well as coordinating in-country work, including data collection, analysis and visualisation. The CAPTURA consortium also included as partners, The Brigham & Women’s Hospital (WHONET), The Public Health Surveillance Group (PHSG), and Oxford University’s Big Data Institute (BDI).

The WHONET microbiology database software is already actively used in most CAPTURA countries. It captures and standardizes data from diverse laboratory information systems into a common platform, facilitating integrated management, analysis, and interpretation of microbiological findings. John Stelling and the rest of the WHONET development team at Brigham & Women’s Hospital supported AMR data collation and interpretation while supporting the in-country capacity building activities.
The Public Health Surveillance Group has significant experience in supporting local governments across Asia and Africa in conducting surveillance assessments and working with ministries to enhance surveillance and health systems will. Bill MacWright and his team from PHSG supported in-country activities and provided subject matter expertise in the development of protocols, training modules and monitoring.
Prof. David Aanensen and team from the Big Data Institute, University of Oxford have developed global methods for mobile data capture (https://five.epicollect.net) and epidemiological data linkage (https://microreact.org) to enable the analyses and visualization of very large datasets. Their expertise guided collection and visualisation of meta-data and developed the AMC data visualization tool.