@article{3626,
  author = {Kutty Kumar},
  title = {Mapping of the Early Trends of 2019 Novel Coronavirus (COVID-19) using PubMed Literature },
  journal = {International Journal of Computational Linguistics Research},
  year = {2022},
  volume = {13},
  number = {4},
  doi = {https://doi.org/10.6025/jcl/2022/13/4/100-108},
  url = {https://www.dline.info/jcl/fulltext/v13n4/jclv13n4_4.pdf},
  abstract = {2019 novel coronavirus infection (COVID-19) causes severe viral pneumonia in people, known to have a high death rate and a similitude in clinical indications with severe acute respiratory syndrome coronavirus. This investigation intended to study the attributes of distributions in early COVID-19 research through bibliometric analysis. The PubMed database was searched on 07th February 2020 for COVID-19 distributions published from 01st December 2019 to 06th February 2020. Investigation parameters incorporate the year of production, distribution type, examples of universal coordinated effort, and research organizations. An aggregate of 62 COVID-19 research distributions was distributed during the examination time frame. The exploration works were broadcast from 13 nations, demonstrating the global noteworthiness of coronavirus episodes. The USA was the most prominent supporter, with 24 articles distributed over two months and six days, trailed by England (11 articles). Aftereffects of the investigation will bear some significance with understudies, specialists, curators, and data science experts and will fill in as a pattern for resulting examinations.},
}