[Article] Global Research on Coronaviruses: An R Package

Research Article_s

Global Research on Coronaviruses: An R Package

Author

Affiliation

Thierry Warin

HEC Montréal & CIRANO (Canada)

Published

July 26, 2020

DOI

10.2196/19615

Abstract

In these trying times, we developed an R package to simplify the workflow of interested researchers, with multidisciplinarity in mind. With more than 28,000 medical references, this package is among the largest ones about the medical references on coronaviruses. It is also the only one of this size - to the best of our knowledge - to be built in the R language. This package could be of interest to epidemiologists, researchers in scientometrics, biostatisticians, as well as data scientists broadly defined. This package collects references from PubMed and organize the data in a dataframe. Then, we built functions to sort through the collection of references. Researchers can also integrate the data in their own pipeline and implement in R their own code libraries. We provide a short use case in this article based on a bibliometric analysis of the references made available by this package.

Keywords: R, Covid-19, Pandemic


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Footnotes

    Citation

    For attribution, please cite this work as

    Warin, "Thierry Warin, PhD: [Article] Global Research on Coronaviruses: An R Package", J Med Internet Res, 2020

    BibTeX citation

    @article{warin2020[article],
  author = {Warin, Thierry},
  title = {Thierry Warin, PhD: [Article] Global Research on Coronaviruses: An R Package},
  journal = {J Med Internet Res},
  year = {2020},
  note = {https://warin.ca/posts/article-global-research-on-coronaviruses/},
  doi = {10.2196/19615}
}