Bibliometric Analysis on Ebola Virus Disease (EVD) Research using PubMed and Google Scholar databases

Bibliometric Analysis on Ebola Virus Disease (EVD) Research using PubMed and Google Scholar databases | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 9 December 2025 V1 Latest version Share on Bibliometric Analysis on Ebola Virus Disease (EVD) Research using PubMed and Google Scholar databases Authors : Ifeanyi Ferdinand Chukwuma 0009-0005-9083-6294 [email protected] , Chidinma Kenechi Ezenwaji , Chukwujekwu Felix Onyia , Adaeze Helen Oli , Chukwudi Anthony Ogabido , and Angus Nnamdi Oli Authors Info & Affiliations https://doi.org/10.22541/au.176528175.54744857/v1 240 views 130 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract \articletype Original Articles Background Ebola virus disease is a zoonotic viral disease of the Filoviridae family that is endemic to the regions of West and equatorial Africa. It is a disease that is common among primates but has affected humans in recent years. The aim of the study is to analyze the growth patterns of research on Ebola disease, synthesize the findings that have evolved from continuous research, identify research trends as well as research gaps prevailing in Ebola disease, and provide insight into future studies and research. This manuscript explores the research topics and collaborative behavior of authors in the field of Ebola virus disease. Methods Ebola virus publications from 1980-2023 were retrieved from the databases Google Scholar and PubMed using the keywords “Ebola Virus Disease,” “Ebola,” “Ebola virus,” “Ebola disease,” and “Ebola virus.” VOSviewer was used for visualization. This study focused on the dominance of keywords and collaborations among authors. Using the search strategy, 997 and 9975 studies were extracted from Google Scholar and PubMed, respectively. Results The most dominant keywords, like ‘disease outbreak’ and ‘ebola vaccines,’ showed the research trends and topics that have been analyzed and topics garnering interest in recent years. It also provides insight into research gaps present. The most contributing authors in PubMed included Feldmann Heinz, Geisbert Thomas W, Geisbert Joan B, and Marzi Andrea, while in Google Scholar, WHO was the most contributing author, with Cenat Jude Mary, Bukaka Jacqueline, and Rousseau Cecile being the most collaborated authors. The results also showed the growth patterns of research on Ebola disease. It was observed there was low output of Ebola virus publications until in 2014 when there was a sudden increase in publications. The highest output of publications occurred in 2015, and this was in correlation with the Ebola virus outbreak in 2014. Conclusion This study depicts the progress and current trends in Ebola virus research, has highlighted the role played by the various stakeholders, and has analyzed the growth patterns of research on Ebola disease. Supplementary Material File (2025 dec real ebola manuscript.docx) Download 3.00 MB Information & Authors Information Version history V1 Version 1 09 December 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords biostatistics & bioinformatics data processing ebolavirus epidemiology virus classification zoonoses Authors Affiliations Ifeanyi Ferdinand Chukwuma 0009-0005-9083-6294 [email protected] Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Agulu, Nnamdi Azikiwe University, Awka 420108, Anambra State, Nigeria View all articles by this author Chidinma Kenechi Ezenwaji Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Agulu, Nnamdi Azikiwe University, Awka 420108, Anambra State, Nigeria View all articles by this author Chukwujekwu Felix Onyia Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Ado Ekiti, Ekiti State, Nigeria Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Federal University, Ado Ekiti, Ekiti State, Nigeria View all articles by this author Adaeze Helen Oli Department of Medical Microbiology and Public Health, Faculty of Medical Laboratory Science, Nnamdi Azikiwe University, Nnewi Campus View all articles by this author Chukwudi Anthony Ogabido Department of Obstetrics and Gynaecology, Faculty of Medicine, Nnamdi Azikiwe University, Nnewi Campus View all articles by this author Angus Nnamdi Oli Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Agulu, Nnamdi Azikiwe University, Awka 420108, Anambra State, Nigeria Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, Agulu, Nnamdi Azikiwe University, Awka 420107, Anambra State, Nigeria View all articles by this author Metrics & Citations Metrics Article Usage 240 views 130 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Ifeanyi Ferdinand Chukwuma, Chidinma Kenechi Ezenwaji, Chukwujekwu Felix Onyia, et al. 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