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Addressing the Unknowns of Antimicrobial Resistance: Quantifying and Mapping the Drivers of Burden
Author(s) -
Gwenan M. Knight,
Céire Costelloe,
Kris A. Murray,
Julie V. Robotham,
Rifat Atun,
Alison Holmes
Publication year - 2017
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/cix765
Subject(s) - risk analysis (engineering) , psychological intervention , data science , computer science , antibiotic resistance , resistance (ecology) , business , medicine , biology , ecology , psychiatry , microbiology and biotechnology , antibiotics
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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