Current Status of Global Research on Novel Coronavirus Disease (COVID-19): A Bibliometric Analysis and Knowledge Mapping

2020 ◽  
Author(s):  
Md Mahbub Hossain
Keyword(s):  
Bibliometric Analysis ◽  
Current Status ◽  
Knowledge Mapping ◽  
Novel Coronavirus ◽  
Global Research

scholarly journals Current status of global research on novel coronavirus disease (COVID-19): a bibliometric analysis and knowledge mapping

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 374 ◽  
Author(s):  
Md Mahbub Hossain
Keyword(s):  
Research Collaboration ◽  
Health Concern ◽  
Current Status ◽  
Knowledge Mapping ◽  
Text Data ◽  
Research Collaborations ◽  
Current State ◽  
State Of Research ◽  
Novel Coronavirus ◽  
Global Research

Background: Novel coronavirus disease (COVID-19) is a major global health concern due to its pathogenicity and widespread distribution around the world. Despite a growing interest, little is known about the current state of research on COVID-19. This bibliometric study evaluated the contemporary scientific literature to assess the evolution of knowledge on COVID-19, identify the leading research stakeholders, and analyze the conceptual areas of knowledge development in this domain. Methods: Bibliometric data on COVID-19 related studies published until April 1, 2020, were retrieved from Web of Science core collection. Further, a quantitative evaluation and visualizations of knowledge areas in COVID-19 research were created by statistical and text-mining approaches using bibliometric tools and R software. Results: A total of 422 citations were retained in this study, including journal articles, reviews, letters, and other publications. The mean number of authors and citations per document was 3.91 and 2.47, respectively. Also, the top ten articles, authors, and journals were identified based on the frequencies of citations and publications. Networks of contributing authors, institutions, and countries were visualized in maps, which highlight discrete developments in research collaborations. Major areas identified through evaluating keywords and text data included genetic, epidemiological, zoonotic, and other biological topics associated with COVID-19. Conclusions: Current status of COVID-19 research shows early development in different areas of knowledge. More research should be conducted in less-explored areas, including socioeconomic determinants and impacts of COVID-19. Also, global research collaboration should be encouraged for strengthening evidence-based decision-making preventing and addressing the COVID-19 pandemic and aftermath.

A Bibliometric Analysis of Global Research on Lophomonas sp. in Scopus (1933-2019)

2020 ◽  
Vol 20 ◽  
Author(s):  
Masoud Keighobadi ◽  
Maryam Nakhaei ◽  
Ali Sharifpour ◽  
Ali Akbar Khasseh ◽  
Sepideh Safanavaei ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
International Collaboration ◽  
Research Articles ◽  
High Quality ◽  
The Real ◽  
The Us ◽  
The World ◽  
Scopus Database ◽  
Number Of Publications ◽  
Global Research

Background: This study was designed to analyze the global research on Lophomonas spp. using bibliometric techniques. Methods: A bibliometric research was carried out using the Scopus database. The analysis unit was the research articles conducted on Lophomonas spp. Results: Totally, 56 articles about Lophomonas spp. were indexed in the Scopus throughout 1933-2019 ( 87 years ) with the following information: (A) The first article was published in 1933; (B) 21 different countries contributed in studies related to Lophomonas spp.; (C) China ranked first with 16 publications about Lophomonas spp.; and (D) “Brugerolle, G” and “Beams, H.W.” from France and the US participated in 4 articles respectively, as the highest number of publications in the Lophomonas spp. network. Discussion: After 87 years, Lophomonas still remains unknown for many researchers and physicians around the world. Further studies with high quality and international collaboration are urgently needed to determine different epidemiological aspects and the real burden of the mysterious parasite worldwide.

Novel Coronavirus Disease (COVID-19): A Narrative Review Based on Current Status

2020 ◽  
Vol 18 ◽  
Author(s):  
Rina Das ◽  
Dinesh Kumar Mehta ◽  
Meenakshi Dhanawat
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Clinical Symptoms ◽  
Virus Disease ◽  
Relevant Literature ◽  
World Health ◽  
Current Status ◽  
Future Research ◽  
Treatment And Prevention ◽  
First Case ◽  
Novel Coronavirus

Abstract:: A novel virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared and expanded globally by the end of year in 2019 from Wuhan, China, causing severe acute respiratory syndrome. During its initial stage, the disease was called the novel coronavirus (2019-nCoV). It was named COVID-19 by the World Health Organization (WHO) on 11 February 2020. The WHO declared worldwide the SARS-CoV-2 virus a pandemic on March 2020. On 30 January 2020 the first case of Corona Virus Disease 2019 (COVID-19) was reported in India. Now in current situation the virus is floating in almost every part of the province and rest of the globe. -: On the basis of novel published evidences, we efficiently summarized the reported work with reference to COVID-19 epidemiology, pathogen, clinical symptoms, treatment and prevention. Using several worldwide electronic scientific databases such as Pubmed, Medline, Embase, Science direct, Scopus, etc were utilized for extensive investigation of relevant literature. -: This review is written in the hope of encouraging the people successfully with the key learning points from the underway efforts to perceive and manage SARS-CoV-2, suggesting sailent points for expanding future research.

scholarly journals Research Trends of Acupuncture Therapy on Cancer Over the Past Two Decades: A Bibliometric Analysis

2020 ◽  
Vol 19 ◽  
pp. 153473542095944
Author(s):  
Jing Guo ◽  
Lixia Pei ◽  
Lu Chen ◽  
Hao Chen ◽  
Dongmei Gu ◽  
...  
Keyword(s):  
Neuropathic Pain ◽  
Acupuncture Therapy ◽  
Supportive Care ◽  
Bibliometric Analysis ◽  
Integrative Medicine ◽  
Clinical Studies ◽  
Current Status ◽  
Cancer Center ◽  
Future Research ◽  
The Past

Purpose: Acupuncture has been used for managing cancer-related symptoms. However, there are still few studies concerning the overall trends in acupuncture therapy on cancer based on bibliometric analysis. This study aims to demonstrate the current status and trends in this field over the past 2 decades. Methods: Articles were retrieved from the Web of Science from 2000 to 2019. CiteSpace was used for co-authorship network of countries/institutions, dual-map analysis, and detecting the keywords with citation bursts. VOSviewer was used to construct networks based on co-authorship and co-citation analysis of authors, and co-occurrence of keywords. Results: A total of 927 articles and reviews were included in the final analysis. The number of publications has steadily increased with some fluctuations among years. The country and institution contributing most to this field are the USA and Memorial Sloan Kettering Cancer Center. Mao JJ was the most productive author and Molassiotis A ranked first in the cited authors. The co-occurrence analysis revealed 5 clusters (including “clinical trials,” “clinical studies on chemotherapy/radiation-induced symptoms,” “CAM therapy for cancer,” “clinical studies on vasomotor symptoms,” and “systematic reviews”). Most recent keyword bursts were “neuropathic pain,” “arthralgia,” “prevention,” “supportive care,” and “integrative medicine”. Conclusions: The annual publication output would increase rapidly in the next decade, which shows a promising future in this research field. Future research hotspots would focus on the role of acupuncture in neuropathic pain, arthralgia, prevention, supportive care, and integrative medicine.

scholarly journals Mapping the global research output on Ebola vaccine from research indexed in web of science and scopus: a comprehensive bibliometric analysis

2021 ◽  
pp. 1-13
Author(s):  
Tosin Yinka Akintunde ◽  
Taha Hussein Musa ◽  
Hassan Hussein Musa ◽  
Shaojun Chen ◽  
Elhakim Ibrahim ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Research Output ◽  
Global Research

Molar Pregnancy in the Last 50 Years: A Bibliometric Analysis of Global Research Output

Placenta ◽  
2021 ◽  
Author(s):  
Ourlad Alzeus G. Tantengco ◽  
Federico Cristobal C. De Jesus ◽  
Eloina Faye S. Gampoy ◽  
Eric David B. Ornos ◽  
Manuel S. Vidal ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Research Output ◽  
Molar Pregnancy ◽  
Global Research

scholarly journals Substantial impact of post-vaccination contacts on cumulative infections during viral epidemics

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 315
Author(s):  
Nash Rochman ◽  
Yuri Wolf ◽  
Eugene V. Koonin
Keyword(s):  
Deterministic Model ◽  
Vaccination Campaign ◽  
Current Status ◽  
Distribution Analysis ◽  
Cumulative Number ◽  
Optimal Distribution ◽  
Substantial Impact ◽  
Post Vaccination ◽  
Novel Coronavirus ◽  
Susceptible Populations

Background: The start of 2021 was marked by the initiation of a global vaccination campaign against the novel coronavirus SARS-CoV-2. Formulating an optimal distribution strategy under social and economic constraints is challenging. Optimal distribution is additionally constrained by the potential emergence of vaccine resistance. Analogous to chronic low-dose antibiotic exposure, recently inoculated individuals who are not yet immune play an outsized role in the emergence of resistance. Classical epidemiological modelling is well suited to explore how the behavior of the inoculated population impacts the total number of infections over the entirety of an epidemic. Methods: A deterministic model of epidemic evolution is analyzed, with seven compartments defined by their relationship to the emergence of vaccine-resistant mutants and representing three susceptible populations, three infected populations, and one recovered population. This minimally computationally intensive design enables simulation of epidemics across a broad parameter space. The results are used to identify conditions minimizing the cumulative number of infections. Results: When an escape variant is only modestly less infectious than the originating strain within a naïve population, the cumulative number of infections does not monotonically decrease with the rate of vaccine distribution. Analysis of the model also demonstrates that inoculated individuals play a major role in the mitigation or exacerbation of vaccine-resistant outbreaks. Modulating the rate of host–host contact for the inoculated population by less than an order of magnitude can alter the cumulative number of infections by more than 20%. Conclusions: Mathematical modeling shows that limiting post-vaccination contacts can perceptibly affect the course of an epidemic. The consideration of limitations on post-vaccination contacts remains relevant for the entire duration of any vaccination campaign including the current status of SARS-CoV-2 vaccination.

scholarly journals First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast

2020 ◽  
Author(s):  
Rosario Megna
Keyword(s):  
Real Time ◽  
Forecast Model ◽  
Current Status ◽  
Logistic Distribution ◽  
Infected People ◽  
The North ◽  
Heavy Burden ◽  
Novel Coronavirus ◽  
Health Organization ◽  
Collaborative Efforts

Abstract Background : The first outbreaks of COVID-19 in Italy occurred during the second half of February 2020 in some areas in the North of the country. Due to the high contagiousness of the infection, further spread by asymptomatic people, Italy has become in a few weeks the country with the greatest number of infected people in the World. The large number of severe cases among infected people in Italy led to the hospitalization of thousands of patients, with a heavy burden on the National Health Service. Methods: We analyzed data provided daily by Italian Authorities for the period from 24 February 2020 to 30 March 2020. Considering such information, we developed a forecast model in real-time, based on the cumulative logistic distribution. We then produced an estimate of the overall number of potentially infected individuals and epidemic duration at a national and Regional level, for the most affected Regions. Results: A total of 101,739 infected individuals was confirmed until 30 March 2020, of which 75,528 active cases, 14,620 recovered or discharged, and 11,591 deaths. Until the same date patients quarantined at home were 43,752, whereas hospitalized patients were 31,776, of which 3,981 in intensive care. The forecast model estimated a number of infected persons for Italy of 130,000 about, and a duration of the epidemic greater than 2 months. Conclusions : Once month after the first outbreaks there seems to be the first signs of a decrease in the number of infections, showing that we could be now facing the descending phase of the epidemic. The forecast obtained thanks to our model could be used by decision-makers to implement coordinative and collaborative efforts in order to control the epidemic. The pandemic due to novel Coronavirus must be a warning for all countries worldwide, regarding a rapid and complete dissemination of information, surveillance, health organization, and cooperation among the states.

Sign in / Sign up

Export Citation Format

Share Document