Visualizing Zika Virus Research Literature Through Bibliometric Mapping

Visualizing Zika Virus Research Literature Through Bibliometric Mapping

Usharani Munuswamy (Tamil Nadu State Forensic Sciences Department, India) and J. John Jeyasekar (Tamil Nadu State Forensic Sciences Department, India)
Copyright: © 2018 |Pages: 13
DOI: 10.4018/978-1-5225-3457-0.ch007


This study outlines a significant relationship between a spurt of research activity in the field and the outbreak of the Zika disease, for the purpose of visualizing the phenomenon. By using bibliographic research, it is possible to correlate data with this disease. To identify the hotspots of research the data is evaluated using the following parameters: literature growth since 1975; most prolific authors and their contributions; top contributing institution, country, and journal; identify co-authorship clusters of the authors and institutions; and finally, to create and examine co-word maps of the keywords. It is also found that under-developed countries like Senegal and Zambia have contributed to Zika research along with the USA, France and Germany. Forty-five per cent of the contributions are concentrated in six journals.
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Review Of Literature

Bibliometric mapping which is performed using available bibliographic information deposited at major journals and bibliographic databases helps to understand the existing scientific knowledge about the disease, the level of research and its impact on scientific community at different levels. Scoping reviews apart from bibliometric analysis, also plays a vital role in addressing broad, policy driven research questions by identifying all the relevant evidence concerning the issue and producing summaries of the findings (Levac et al., 2010; Colquhoun et al., 2014). These reviews follow a structured protocol for the identification and characterization of the literature in a manner that is both reproducible and updateable (Young et al., 2014; Colquhoun et al., 2014). The scoping review is also well-suited for the identification of evidence on a broad-topic, but does not include a quality assessment or in-depth data extraction stage that would be required for meta-analysis of studies. However, an important aspect of this review is the identification of where evidence is lacking or non-existent to help direct future research and use of resources (Waddell and Greig, 2016).

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