Bacterial antimicrobial resistance burden in Africa: accuracy, action, and alternatives

Abstract

Understanding the burden of antimicrobial resistance (AMR), detecting potential hospital outbreaks due to multidrug resistant-bacteria, and monitoring local, regional, and global trends of bacterial resistance for the early warning of emerging or escalating AMR depend on high-quality surveillance systems that generate representative, quality-assured AMR data. Representativeness and quality of surveillance data are particularly important if used for clinical decision making, assessing the impact of AMR mitigation interventions, and formulating health investment cases for stewardship and infection prevention and control (IPC) programmes.

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