Coronavirus research topics, tracking twenty years of research
Abstract Research publications aimed at understanding the various aspects of Coronaviruses, particularly COVID-19, have significantly shaped our knowledge base. While the urgency to monitor COVID-19 in real-time has decreased, the continual influx of new research of monthly articles underscores the...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04992-z |
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| author | Amir Aryani Jingbo Wang Luis Salvador-Carulla Jihoon Woo Cathy P. W. Cheung Zhuochen Wu Hui Yin Junhua Xiao Elisabeth A. Lambert Jason Howitt Jean M. Davidson Serene Yoong John B. Dixon Rachel E. Climie Jose A. Salinas-Perez Nasser Bagheri Celine Santiago Joanne Williams Nilmini Wickramasinghe Leo Ng Clara C. Zwack Gavin W. Lambert |
| author_facet | Amir Aryani Jingbo Wang Luis Salvador-Carulla Jihoon Woo Cathy P. W. Cheung Zhuochen Wu Hui Yin Junhua Xiao Elisabeth A. Lambert Jason Howitt Jean M. Davidson Serene Yoong John B. Dixon Rachel E. Climie Jose A. Salinas-Perez Nasser Bagheri Celine Santiago Joanne Williams Nilmini Wickramasinghe Leo Ng Clara C. Zwack Gavin W. Lambert |
| author_sort | Amir Aryani |
| collection | DOAJ |
| description | Abstract Research publications aimed at understanding the various aspects of Coronaviruses, particularly COVID-19, have significantly shaped our knowledge base. While the urgency to monitor COVID-19 in real-time has decreased, the continual influx of new research of monthly articles underscores the importance of systematic review and analysis to deepen our understanding of the pandemic’s broad impact. To explore research trends and innovations in this space, we developed a pipeline using natural language processing techniques. This pipeline systematically catalogues and synthesises the vast array of research articles, leading to the creation of a dataset with more than eight hundred thousand articles from July 2002 to May 2024. This paper describes the content of this dataset and provides the necessary information to make this dataset accessible and reusable for future research. Our approach aggregates and organises global research related to Coronaviruses into thematic clusters such as vaccine development, public health strategies, infection mechanisms, mental health issues, and economic consequences. Also, we have leveraged the contribution of health experts to review and revise the dataset. |
| format | Article |
| id | doaj-art-5b346bb03044481094dd796b145e27bf |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-5b346bb03044481094dd796b145e27bf2025-08-20T03:20:59ZengNature PortfolioScientific Data2052-44632025-06-0112111710.1038/s41597-025-04992-zCoronavirus research topics, tracking twenty years of researchAmir Aryani0Jingbo Wang1Luis Salvador-Carulla2Jihoon Woo3Cathy P. W. Cheung4Zhuochen Wu5Hui Yin6Junhua Xiao7Elisabeth A. Lambert8Jason Howitt9Jean M. Davidson10Serene Yoong11John B. Dixon12Rachel E. Climie13Jose A. Salinas-Perez14Nasser Bagheri15Celine Santiago16Joanne Williams17Nilmini Wickramasinghe18Leo Ng19Clara C. Zwack20Gavin W. Lambert21Swinburne University of TechnologyNational Computational Infrastructure, The Australian National UniversityUniversity of CanberraSwinburne University of TechnologyAustralian National University (ANU)National Computational Infrastructure, The Australian National UniversitySwinburne University of TechnologySchool of Allied Health, La Trobe UniversitySwinburne University of TechnologySwinburne University of TechnologyCalifornia Polytechnic State UniversitySchool of Health and Social Development, Deakin UniversitySwinburne University of TechnologyUniversity of TasmaniaUniversidad Loyola AndalucíaUniversity of CanberraVictor Chang Cardiac Research InstituteSwinburne University of TechnologySwinburne University of TechnologySwinburne University of TechnologySwinburne University of TechnologySwinburne University of TechnologyAbstract Research publications aimed at understanding the various aspects of Coronaviruses, particularly COVID-19, have significantly shaped our knowledge base. While the urgency to monitor COVID-19 in real-time has decreased, the continual influx of new research of monthly articles underscores the importance of systematic review and analysis to deepen our understanding of the pandemic’s broad impact. To explore research trends and innovations in this space, we developed a pipeline using natural language processing techniques. This pipeline systematically catalogues and synthesises the vast array of research articles, leading to the creation of a dataset with more than eight hundred thousand articles from July 2002 to May 2024. This paper describes the content of this dataset and provides the necessary information to make this dataset accessible and reusable for future research. Our approach aggregates and organises global research related to Coronaviruses into thematic clusters such as vaccine development, public health strategies, infection mechanisms, mental health issues, and economic consequences. Also, we have leveraged the contribution of health experts to review and revise the dataset.https://doi.org/10.1038/s41597-025-04992-z |
| spellingShingle | Amir Aryani Jingbo Wang Luis Salvador-Carulla Jihoon Woo Cathy P. W. Cheung Zhuochen Wu Hui Yin Junhua Xiao Elisabeth A. Lambert Jason Howitt Jean M. Davidson Serene Yoong John B. Dixon Rachel E. Climie Jose A. Salinas-Perez Nasser Bagheri Celine Santiago Joanne Williams Nilmini Wickramasinghe Leo Ng Clara C. Zwack Gavin W. Lambert Coronavirus research topics, tracking twenty years of research Scientific Data |
| title | Coronavirus research topics, tracking twenty years of research |
| title_full | Coronavirus research topics, tracking twenty years of research |
| title_fullStr | Coronavirus research topics, tracking twenty years of research |
| title_full_unstemmed | Coronavirus research topics, tracking twenty years of research |
| title_short | Coronavirus research topics, tracking twenty years of research |
| title_sort | coronavirus research topics tracking twenty years of research |
| url | https://doi.org/10.1038/s41597-025-04992-z |
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