Pandri, Ferdias and Ansari, Saleh Ahmar (2021) Forecasting of the COVID-19 Epidemic: A Scientometric Analysis. Library Philosophy and Practice (e-journal). ISSN 1522-0222

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Abstract

This study presented a scientometric analysis of scientific publications with discussions of forecasting and COVID-19. The data of this study were obtained from the Scopus database using the keywords: ( TITLE-ABS-KEY (forecast) AND TITLE-ABS-KEY (covid)) and the data were taken on March 26, 2021. This study was a scientometric study. The data were subsequently analyzed using the VosViewer and Bibliometrix R Package. The results showed that “COVID�19” was the keyword most frequently used by researchers, followed by “forecasting” and “human”. Authors who discussed the topic of forecasting COVID-19 come from 83 different countries/regions, with the most articles sent by authors from the USA. Keywords: COVID-19; forecasting; scientometric.

Item Type:	Article
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > Z719 Libraries (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User:	pandri ferdias
Date Deposited:	24 May 2021 03:32
Last Modified:	24 May 2021 03:32
URI:	http://repository.lppm.unila.ac.id/id/eprint/30563

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