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. 2018 Feb 1;66(4):612-616.
doi: 10.1093/cid/cix765.

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

Gwenan M Knight  1 , Ceire Costelloe  1 , Kris A Murray  2   3 , Julie V Robotham  1   4   5 , Rifat Atun  6   7 , Alison H Holmes  1   8
Affiliations

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

Gwenan M Knight et al. Clin Infect Dis. .

Abstract

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.

Keywords: antimicrobial resistance; mapping; mathematical modeling; quantification.

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Figures

Figure 1.
Figure 1.
Example factors influencing antimicrobial resistance selection and transmission pathways that require quantification for a more effective and efficient global response.
Figure 2.
Figure 2.
Stages required for determination of the relative contributions of different sources and transmission routes to antimicrobial resistance (AMR).
See this image and copyright information in PMC

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