Mapping twenty years of antimicrobial resistance research trends.

Anti-Bacterial Agents / therapeutic use China Drug Resistance, Bacterial India
Antimicrobial resistance Geographic mapping Global health Machine learning Research activity

Journal

Artificial intelligence in medicine
ISSN: 1873-2860
Titre abrégé: Artif Intell Med
Pays: Netherlands
ID NLM: 8915031

Informations de publication

Date de publication:
01 2022
Historique:
received: 23 04 2021
revised: 06 11 2021
accepted: 12 11 2021
entrez: 9 1 2022
pubmed: 10 1 2022
medline: 1 4 2022
Statut: ppublish

Résumé

Antimicrobial resistance (AMR) is a global threat to health and healthcare. In response to the growing AMR burden, research funding also increased. However, a comprehensive overview of the research output, including conceptual, temporal, and geographical trends, is missing. Therefore, this study uses topic modelling, a machine learning approach, to reveal the scientific evolution of AMR research and its trends, and provides an interactive user interface for further analyses. Structural topic modelling (STM) was applied on a text corpus resulting from a PubMed query comprising AMR articles (1999-2018). A topic network was established and topic trends were analysed by frequency, proportion, and importance over time and space. In total, 88 topics were identified in 158,616 articles from 166 countries. AMR publications increased by 450% between 1999 and 2018, emphasizing the vibrancy of the field. Prominent topics in 2018 were Strategies for emerging resistances and diseases, Nanoparticles, and Stewardship. Emerging topics included Water and environment, and Sequencing. Geographical trends showed prominence of Multidrug-resistant tuberculosis (MDR-TB) in the WHO African Region, corresponding with the MDR-TB burden. China and India were growing contributors in recent years, following the United States of America as overall lead contributor. This study provides a comprehensive overview of the AMR research output thereby revealing the AMR research response to the increased AMR burden. Both the results and the publicly available interactive database serve as a base to inform and optimise future research.

Identifiants

DOI: 10.1016/j.artmed.2021.102216 PMID: 34998519
pubmed: 34998519
pii: S0933-3657(21)00209-8
doi: 10.1016/j.artmed.2021.102216
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102216

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Christian F Luz (CF)

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Hanzeplein 1, 9700RB Groningen, the Netherlands. Electronic address: c.f.luz@umcg.nl.

J Magnus van Niekerk (JM)

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Hanzeplein 1, 9700RB Groningen, the Netherlands; University of Twente, Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, PO Box 217, 7500AE Enschede, the Netherlands; University of Twente, Department of Earth Observation Science (EOS), Faculty of Geo-Information Science and Earth Observation (ITC), PO Box 217, 7500AE Enschede, the Netherlands.

Julia Keizer (J)

University of Twente, Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, PO Box 217, 7500AE Enschede, the Netherlands.

Nienke Beerlage-de Jong (N)

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Hanzeplein 1, 9700RB Groningen, the Netherlands; University of Twente, Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, PO Box 217, 7500AE Enschede, the Netherlands.

L M Annemarie Braakman-Jansen (LMA)

University of Twente, Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, PO Box 217, 7500AE Enschede, the Netherlands.

Alfred Stein (A)

University of Twente, Department of Earth Observation Science (EOS), Faculty of Geo-Information Science and Earth Observation (ITC), PO Box 217, 7500AE Enschede, the Netherlands.

Bhanu Sinha (B)

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Hanzeplein 1, 9700RB Groningen, the Netherlands.

J E W C van Gemert-Pijnen (JEWC)

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Hanzeplein 1, 9700RB Groningen, the Netherlands; University of Twente, Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, PO Box 217, 7500AE Enschede, the Netherlands.

Corinna Glasner (C)

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Hanzeplein 1, 9700RB Groningen, the Netherlands.

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Classifications MeSH

questionsmedicales.fr › Actions chimiques et utilisations › Actions pharmacologiques › Utilisations thérapeutiques › Anti-infectieux › Antibactériens › Mapping twenty years of antimicrobial...
questionsmedicales.fr › Régions géographiques › Asie › Extrême-Orient › Chine › Mapping twenty years of antimicrobial...
questionsmedicales.fr › Phénomènes physiologiques › Phénomènes pharmacologiques et toxicologiques › Phénomènes pharmacologiques › Résistance aux substances › Résistance microbienne aux médicaments › Résistance bactérienne aux médicaments › Mapping twenty years of antimicrobial...
questionsmedicales.fr › Régions géographiques › Asie › Asie de l'Ouest › Asie du Sud › Inde › Mapping twenty years of antimicrobial...