What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?
Petar Radanliev (),
David Roure,
Rob Walton,
Max Kleek,
Omar Santos and
La’Treall Maddox
Additional contact information
David Roure: University of Oxford
Rob Walton: University of Oxford
Max Kleek: University of Oxford
Omar Santos: Cisco Research Centre
La’Treall Maddox: Cisco Research Centre
Annals of Data Science, 2022, vol. 9, issue 5, No 9, 1049-1067
Abstract:
Abstract In this article, we conduct data mining and statistical analysis on the most effective countries, universities, and companies, based on their output (e.g., produced or collaborated) on COVID-19 during the first wave of the pandemic. Hence, the focus of this article is on the first wave of the pandemic. While in later stages of the pandemic, US and UK performed best in terms of vaccine production, the focus in this article is on the initial few months of the pandemic. The article presents findings from our analysing of all available records on COVID-19 from the Web of Science Core Collection. The results are compared with all available data records on pandemics and epidemics from 1900 to 2020. This has created interesting findings that are presented in the article with visualisation tools.
Keywords: COVID-19; Pandemic; Epidemic; Disease; Virus; Statistics; Computation; Data mining; Big data analytics (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s40745-022-00406-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:aodasc:v:9:y:2022:i:5:d:10.1007_s40745-022-00406-8
Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745
DOI: 10.1007/s40745-022-00406-8
Access Statistics for this article
Annals of Data Science is currently edited by Yong Shi
More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().