Mapping twenty years of antimicrobial resistance research trends

Christian Luz; Magnus van Niekerk; Julia Keizer; Nienke Beerlage - de Jong; Louise Jansen; A. Stein; Bhanu Sinha; J.E.W.C. van Gemert-Pijnen; Corinna Glasner

doi:10.1016/j.artmed.2021.102216

Mapping twenty years of antimicrobial resistance research trends

Christian Luz^*, Magnus van Niekerk, Julia Keizer, Nienke Beerlage - de Jong, Louise Jansen, A. Stein, Bhanu Sinha, J.E.W.C. van Gemert-Pijnen, Corinna Glasner

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

19 Citations (Scopus)

165 Downloads (Pure)

Abstract

Objective
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.

Methods
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.

Results
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.

Conclusion
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.

Original language	English
Article number	102216
Journal	Artificial intelligence in medicine
Volume	123
Early online date	20 Nov 2021
DOIs	https://doi.org/10.1016/j.artmed.2021.102216
Publication status	Published - Jan 2022

Keywords

ITC-ISI-JOURNAL-ARTICLE
ITC-HYBRID

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.artmed.2021.102216Licence: CC BY

ArticleFinal published version, 3.68 MBLicence: CC BY

19 Citations
1 Working paper

Mapping Twenty Years of Antimicrobial Resistance Research Trends
Luz, C. F., van Niekerk, J. M., Keizer, J., Jong, N.B.-D., Braakman-Jansen, L. M. A., Stein, A., Sinha, B., Gemert-Pijnen, J. E. W. C. V. & Glasner, C., 1 Mar 2021, bioRxiv, 28 p.
Research output: Working paper

Open Access
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109 Downloads (Pure)

Cite this

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title = "Mapping twenty years of antimicrobial resistance research trends",

abstract = "ObjectiveAntimicrobial 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.MethodsStructural 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.ResultsIn 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.ConclusionThis 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.",

keywords = "ITC-ISI-JOURNAL-ARTICLE, ITC-HYBRID",

author = "Christian Luz and {van Niekerk}, Magnus and Julia Keizer and {Beerlage - de Jong}, Nienke and Louise Jansen and A. Stein and Bhanu Sinha and {van Gemert-Pijnen}, J.E.W.C. and Corinna Glasner",

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doi = "10.1016/j.artmed.2021.102216",

language = "English",

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AU - Luz, Christian

AU - van Niekerk, Magnus

AU - Keizer, Julia

AU - Beerlage - de Jong, Nienke

AU - Jansen, Louise

AU - Stein, A.

AU - Sinha, Bhanu

AU - van Gemert-Pijnen, J.E.W.C.

AU - Glasner, Corinna

PY - 2022/1

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N2 - ObjectiveAntimicrobial 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.MethodsStructural 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.ResultsIn 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.ConclusionThis 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.

AB - ObjectiveAntimicrobial 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.MethodsStructural 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.ResultsIn 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.ConclusionThis 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.

KW - ITC-ISI-JOURNAL-ARTICLE

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JF - Artificial intelligence in medicine

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Mapping twenty years of antimicrobial resistance research trends

Abstract

Keywords

UN SDGs

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Research output

Mapping Twenty Years of Antimicrobial Resistance Research Trends

Cite this