Indian Publications on SARS-CoV-2: A Bibliometric Study of WHO COVID-19 Database

Raju, N. Vasantha; Patil, Sharad D.

doi:10.1101/2020.06.08.20125518

Cited by 16 publications

(21 citation statements)

References 5 publications

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“…Even Chahrour et al (2020), in this study, concluded that India lags with respect to the number of publications on CoV in terms of their gross domestic product (GDP) and the number of publications per million people. This means that central and state institutes should put intensive efforts in order to produce quality research in relation to the pandemic (Vasantha Raju & Patil, 2020). But at the same time, there have been important attempts by the Indian researchers to study this phenomenon from various aspects (Behl & Mishra, 2020;Sahoo & Ashwani, 2020…”

Section: Discussionmentioning

confidence: 99%

“…The scientific studies on CoV are vital in preventing this disease in the future. Globally, the researchers have directed their efforts towards discovering the reasons, medical attributes and producing vaccines for CoV (Vasantha Raju & Patil, 2020). This has resulted in a rapid growth in the publications on this particular subject.…”

Section: Rationale Of the Studymentioning

confidence: 99%

“…Globally reputed learning institutes and publication groups have not only published plentiful studies on CoV but also provide unrestricted access to such literature. Free access to these studies can help to diagnose, treat and prevent this virus and also create awareness against it (Vasantha Raju & Patil, 2020). With the increasing content and curiosity on COVID-19, a bibliometric study may be helpful to gain a global insight of the present and future research on COVID-19 (Bonilla-Aldana et al, 2020).…”

Section: Rationale Of the Studymentioning

confidence: 99%

“…The academic literature on COV based on science is essential for combating the epidemic. The researchers all over the globe are actively occupied in identifying the root cause of the disease, conducting trials and attempting to produce a vaccine to control this disease (Vasantha Raju & Patil, 2020). These attempts by the researchers have produced a lot of research data on this subject.…”

Section: Introductionmentioning

confidence: 99%

“…Not only researchers but also reputed academic institutes and publishing houses are involved in publishing literature on CoV with free access to the readers. This not only creates public awareness but also helps in finding the possible cure for this disease (Vasantha Raju & Patil, 2020). The research data on CoV has been growing rapidly as the researchers are searching for solutions to this pandemic worldwide, which has given rise to the need for appropriate processing of this growing literature (Bras et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Assessing the Coronavirus Research Output: A Bibliometric Analysis

Ali

Hakak

Amin

2020

Global Business Review

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The aim of this article is to examine the bibliometric analysis of global publication output on coronavirus, as covered in Web of Science during the period from 2000 to 2019. A total of 10,861 documents were found during a 20-year period spanning from 2000 to 2019 published in the ISI Web of Science. The study analyses annual productivity, most productive source titles, prolific countries, eminent institutions, linguistic analysis and productivity of authors and their contribution in the subject area. The findings reveal that the most productive year of publication was 2004 that included 782 publications with the majority published in the Journal of Virology. The result further indicates that the USA, China and Germany are the most productive countries in the field of Coronavirus research output. In terms of institutional output, University of Hong Kong emerged as the most productive institution; Yuen KY from Hong Kong is the most prolific author. In the subject category type, the most prominent subject field is Virology, Infectious Disease and Veterinary Science. The findings of the study are limited to the data harvested from ‘Web of Science’. This study is of immense relevance to researchers and academicians who are searching for answers to this pandemic. This will provide insights to academicians to collaborate with other researchers based on the quality of the research produced by other countries and institutes. The study is useful for researchers, immunologists and epidemiologists who are interested in the field of Coronavirus and serves as a base for future research.

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Section: Discussionmentioning

confidence: 99%

Section: Rationale Of the Studymentioning

confidence: 99%

Section: Rationale Of the Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing the Coronavirus Research Output: A Bibliometric Analysis

Ali

Hakak

Amin

2020

Global Business Review

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A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India

Kumar

2022

ISA Transactions

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World is facing stress due to unpredicted pandemic of novel COVID-19. Daily growing magnitude of confirmed cases of COVID-19 put the whole world humanity at high risk and it has made a pressure on health professionals to get rid of it as soon as possible. So, it becomes necessary to predict the number of upcoming cases in future for the preparation of future plan-of-action and medical set-ups. The present manuscript proposed a hybrid fuzzy time series model for the prediction of upcoming COVID-19 infected cases and deaths in India by using modified fuzzy C-means clustering technique. Proposed model has two phases. In phase-I, modified fuzzy C-means clustering technique is used to form basic intervals with the help of clusters centroid while in phase-II, these intervals are upgraded to form sub-intervals. The proposed model is tested against available COVID-19 data for the measurement of its performance based on mean square error, root mean square error and average forecasting error rate. The novelty of the proposed model lies in the prediction of COVID-19 infected cases and deaths for next coming 31 days. Beside of this, estimation for the approximate number of isolation beds and ICU required has been carried out. The projection of the present model is to provide a base for the decision makers for making protection plan during COVID-19 pandemic.

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Indian COVID-19 Preprints Submissions in bioRxiv and medRxiv Preprint Servers

Raju¹,

Adakawa

Harinarayana

et al. 2023

Preprint

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This research aimed at determining the growth of deposition of preprints on servers by Indian researchers during COVID-19 pandemic. In the pre-pandemic period, the dominant server was arXiv upon which research from physics and other related domains have been the most predominant depositors. When the pandemic erupted and the need to share research findings became imperative, many previously dormant preprint servers received vibrant activations from several scientists across the globe. This is with the intention of bridging the gap between delays inherent in reviewing process and the dire need to share information for finding everlasting solutions to the raging pandemic. Many researchers, institutions, countries, etc. have contributed in this regard. The study used quantitative method and iSearch Portfolio expert-curated source for publications and preprints related to either COVID-19 or the novel coronavirus SARS-CoV-2 developed and maintained by National Institute of Health (NIH), US iSearch COVID-19 Portfolio. The study examined the Indian COVID-19 preprints deposited in bioRxiv and medRxiv preprint servers. The findings indicated that, Indian researchers have posted their papers in large numbers in bioRxiv and medRxiv servers with the medRxiv having the highest preprints (417, 40.44%) in 2020 against its counterpart bioRxiv (118, 10.96%) in the same year. Similarly, infectious diseases (except HIV/AIDS) (311) had the highest recurrence of the preprints submitted for deposition in servers. This is followed by epidemiology (263), public and global health (122), bioinformatics (59), among others. There is high collaboration among researchers who deposited their preprints in these servers where about 257 (24.93%) preprints were co-authored by 11+ authors followed by 3-authored and 4-authored with 124 preprints respectively (together accounts for 24.06%) and 2-authroed (114 (11.04%) preprints) respectively in a diminishing manner. The study concluded that, Indian researchers are actively participating in depositing preprints in servers notably bioRxiv and medRxiv

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Indian Publications on SARS-CoV-2: A Bibliometric Study of WHO COVID-19 Database

Cited by 16 publications

References 5 publications

Assessing the Coronavirus Research Output: A Bibliometric Analysis

Assessing the Coronavirus Research Output: A Bibliometric Analysis

A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India

Indian COVID-19 Preprints Submissions in bioRxiv and medRxiv Preprint Servers

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