Child Health Nurs Res.  2019 Oct;25(4):458-467. 10.4094/chnr.2019.25.4.458.

A Text Mining Analysis of HPV Vaccination Research Trends

Affiliations
  • 1Assistant Professor, College of Nursing, Woosuk University, Wanju, Korea. cokitose@naver.com
  • 2Professor, Red Cross College of Nursing, Chung-Ang University, Seoul, Korea.

Abstract

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.

Keyword

HPV vaccines; Uterine cervical cancer; Social network

MeSH Terms

Adolescent
Data Mining*
Education
Health Education
Health Personnel
Humans
Papillomavirus Vaccines
Parents
Social Media
Uterine Cervical Neoplasms
Vaccination*
Papillomavirus Vaccines
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