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

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 est...

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Detalles Bibliográficos
Autores principales: Dunachie, Susanna J, Day, Nicholas PJ, Dolecek, Christiane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Current Biology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763986/
https://www.ncbi.nlm.nih.gov/pubmed/33147565
http://dx.doi.org/10.1016/j.mib.2020.09.013
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author Dunachie, Susanna J
Day, Nicholas PJ
Dolecek, Christiane
author_facet Dunachie, Susanna J
Day, Nicholas PJ
Dolecek, Christiane
author_sort Dunachie, Susanna J
collection PubMed
description 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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spelling pubmed-77639862020-12-28 The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria Dunachie, Susanna J Day, Nicholas PJ Dolecek, Christiane Curr Opin Microbiol Article 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. Current Biology 2020-10 /pmc/articles/PMC7763986/ /pubmed/33147565 http://dx.doi.org/10.1016/j.mib.2020.09.013 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dunachie, Susanna J
Day, Nicholas PJ
Dolecek, Christiane
The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
title The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
title_full The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
title_fullStr The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
title_full_unstemmed The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
title_short The challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
title_sort challenges of estimating the human global burden of disease of antimicrobial resistant bacteria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763986/
https://www.ncbi.nlm.nih.gov/pubmed/33147565
http://dx.doi.org/10.1016/j.mib.2020.09.013
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