4.7 Article

Addressing the Unknowns of Antimicrobial Resistance: Quantifying and Mapping the Drivers of Burden

Journal

CLINICAL INFECTIOUS DISEASES
Volume 66, Issue 4, Pages 612-616

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cid/cix765

Keywords

antimicrobial resistance; quantification; mathematical modeling; mapping

Funding

  1. NIHR Health Protection Research Unit (HPRU) in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College London
  2. Public Health England
  3. NIHR Imperial Biomedical Research Centre
  4. National Institute for Health Research [CDF-2016-09-015] Funding Source: researchfish
  5. National Institutes of Health Research (NIHR) [CDF-2016-09-015] Funding Source: National Institutes of Health Research (NIHR)

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The global threat of antimicrobial resistance (AMR) has arisen through a network of complex interacting factors. Many different sources and transmission pathways contribute to the ever-growing burden of AMR in our clinical settings. The lack of data on these mechanisms and the relative importance of different factors causing the emergence and spread of AMR hampers our global efforts to effectively manage the risks. Importantly, we have little quantitative knowledge on the relative contributions of these sources and are likely to be targeting our interventions suboptimally as a result. Here we propose a systems mapping approach to address the urgent need for reliable and timely data to strengthen the response to AMR.

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