Harnessing alternative sources of antimicrobial resistance data to support surveillance in low-resource settings

Abstract

One of the most pressing challenges to the global surveillance of antimicrobial resistance is the generation, sharing, systematic analysis and dissemination of data in low-resource settings. Numerous agencies and initiatives are working to support the development of globally distributed microbiology capacity, but the routine generation of a sustainable flow of reliable data will take time to establish and deliver clinical and public health impact. By contrast, there are a large number of pharma and academia-led initiatives that generate a wealth of data on antimicrobial resistance and drug-resistant infections in low-resource settings, together with high volume data generation by private laboratories. Here, we explore how untapped sources of data could provide a short-term solution that bridges the gap between now and the time when routine surveillance capacity has been established, and how this could continue to support surveillance efforts in the future. We discuss the benefits and limitations of data generated by these sources, the mechanisms and barriers to making this accessible, and how academia and pharma might support the development of laboratory and analytical capacity. We provide key actions that will be required to harness these data, including a mapping exercise; creating mechanisms for data sharing; use of data to support National Action Plans; facilitating access to, and use of data by the WHO Global Antimicrobial Resistance Surveillance System; and innovation in data capture, analysis and sharing.