TY - JOUR
T1 - Mapping twenty years of antimicrobial resistance research trends
AU - Luz, Christian F.
AU - van Niekerk, J. Magnus
AU - Keizer, Julia
AU - Beerlage-de Jong, Nienke
AU - Braakman-Jansen, L. M. Annemarie
AU - Stein, Alfred
AU - Sinha, Bhanu
AU - van Gemert-Pijnen (Lisette), J. E. W. C.
AU - Glasner, Corinna
N1 - Funding Information:
This research was supported by the INTERREG-VA (202085) funded project EurHealth-1Health (http://www.eurhealth1health.eu), part of a Dutch-German cross-border network supported by the European Commission, the Dutch Ministry of Health, Welfare and Sport, the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State of North Rhine-Westphalia and the Ministry for National and European Affairs and Regional Development of Lower Saxony. In addition, this study was part of a project funded by the European Union's Horizon 2020 - Research and Innovation Framework Programme under the H2020 Marie Sk?odowska-Curie Actions grant agreement 713660 (MSCA-COFUND-2015-DP ?Pronkjewail?).
Funding Information:
This research was supported by the INTERREG -VA ( 202085 ) funded project EurHealth-1Health ( http://www.eurhealth1health.eu ), part of a Dutch-German cross-border network supported by the European Commission , the Dutch Ministry of Health, Welfare and Sport , the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State of North Rhine-Westphalia and the Ministry for National and European Affairs and Regional Development of Lower Saxony . In addition, this study was part of a project funded by the European Union 's Horizon 2020 - Research and Innovation Framework Programme under the H2020 Marie Skłodowska-Curie Actions grant agreement 713660 (MSCA-COFUND-2015-DP “Pronkjewail”).
Publisher Copyright:
© 2021 The Authors
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Antimicrobial resistance
KW - Global health
KW - Research activity
KW - Geographic mapping
KW - Machine learning
U2 - 10.1016/j.artmed.2021.102216
DO - 10.1016/j.artmed.2021.102216
M3 - Article
C2 - 34998519
SN - 0933-3657
VL - 123
JO - Artificial Intelligence in Medicine
JF - Artificial Intelligence in Medicine
M1 - 102216
ER -