A Text Mining Analysis of HPV Vaccination Research Trends
Purpose The purpose of this study was to identify human papillomavirus (HPV) vaccination research trends by visualizing a keyword network. Methods Articles about HPV vaccination were retrieved from the PubMed and Web of Science databases. A total of 1,448 articles published in 2006~2016 were selecte...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Academy of Child Health Nursing
2019-10-01
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| Series: | Child Health Nursing Research |
| Subjects: | |
| Online Access: | http://www.e-chnr.org/upload/pdf/chnr-25-4-458.pdf |
| Summary: | Purpose The purpose of this study was to identify human papillomavirus (HPV) vaccination research trends by visualizing a keyword network. Methods Articles about HPV vaccination were retrieved from the PubMed and Web of Science databases. A total of 1,448 articles published in 2006~2016 were selected. Keywords from the abstracts of these articles were extracted using the text mining program WordStat and standardized for analysis. Sixty-four keywords out of 287 were finally chosen after pruning. Social network analysis using NetMiner was applied to analyze the whole keyword network and the betweenness centrality of the network. Results According to the results of the social network analysis, the central keywords with high betweenness centrality included “health education”, “health personnel”, “parents”, “uptake”, “knowledge”, and “health promotion”. Conclusion To increase the uptake of HPV vaccination, health personnel should provide health education and vaccine promotion for parents and adolescents. Using social media, governmental organizations can offer accurate information that is easily accessible. School-based education will also be helpful. |
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| ISSN: | 2287-9110 2287-9129 |