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Review
. 2020 Oct:57:95-101.
doi: 10.1016/j.mib.2020.09.013. Epub 2020 Nov 2.

The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria

Susanna J Dunachie  1 , Nicholas Pj Day  2 , Christiane Dolecek  2
Affiliations
Review

The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria

Susanna J Dunachie et al. Curr Opin Microbiol. 2020 Oct.

Abstract

Estimating the contribution of antimicrobial resistance (AMR) to global mortality and healthcare costs enables evaluation of interventions, informs policy decisions on resource allocation, and drives research priorities. However assembling the high quality, patient-level data required for global estimates is challenging. Capacity for accurate microbiology culture and antimicrobial susceptibility testing is woefully neglected in low and middle-income countries, and further surveillance and research on community antimicrobial usage, bias in blood culture sampling, and the contribution of co-morbidities such as diabetes is essential. International collaboration between governments, policy makers, academics, microbiologists, front-line clinicians, veterinarians, the food and agriculture industry and the public is critical to understand and tackle AMR.

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Figures

Figure 1
Figure 1
Overview of data-related challenges. Seven types of data-related challenges for estimating the global burden of antimicrobial resistance are shown. See text for further details.
See this image and copyright information in PMC

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