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Addressing the unknowns of antimicrobial resistance: quantifying and mapping the drivers of burden
File(s)
170725 Revised_draft.docx (101.3 KB)
Accepted version
Author(s)
Knight, GM
Costelloe, C
Murray, KA
Robotham, JV
Atun, R
Type
Journal Article
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 in order to strengthen the response to AMR.
Date Issued
2017-08-23
Date Acceptance
2017-08-10
Citation
Clinical Infectious Diseases, 2017, 66 (4), pp.612-616
URI
DOI
ISSN
1058-4838
Publisher
Oxford University Press (OUP)
Start Page
612
End Page
616
Journal / Book Title
Clinical Infectious Diseases
Volume
66
Issue
4
Copyright Statement
© The Author(s) 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. This is a pre-copyedited, author-produced PDF of an article accepted for publication in Clinical Infectious Diseases following peer review. The version of record Gwenan M Knight, Ceire Costelloe, Kris A Murray, Julie V Robotham, Rifat Atun, Alison H Holmes; Addressing the Unknowns of Antimicrobial Resistance: Quantifying and Mapping the Drivers of Burden, Clinical Infectious Diseases, Volume 66, Issue 4, 1 February 2018, Pages 612–616 is available online at: https://doi.org/10.1093/cid/cix765
Sponsor
National Institute for Health Research
National Institute for Health Research
National Institute for Health Research
Grant Number
HPRU-2012-10047
HPRU-2012-10047
CDF-2016-09-015
Subjects
antimicrobial resistance
mapping
mathematical modeling
quantification
06 Biological Sciences
11 Medical And Health Sciences
Microbiology
Publication Status
Published