Forecasting of the COVID-19 Epidemic: A Scientometric Analysis

Pandri, Ferdias and Ansari Saleh, Ahmar (2021) Forecasting of the COVID-19 Epidemic: A Scientometric Analysis. Library Philosophy and Practice (e-journal), 2021 (1). pp. 1-11.

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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.

Item Type:	Article
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	Ansari Saleh Ahmar
Date Deposited:	08 May 2023 09:00
Last Modified:	08 May 2023 09:00
URI:	http://eprints.unm.ac.id/id/eprint/28625

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