HPV vaccination in China based on website platform information

Abstract

ObjectiveTo analyze the online public Q&A texts on HPV vaccine， focus on the important issues related to HPV vaccination and cervical cancer prevention in China， and propose strategies and suggestions.MethodsThe latent Dirichlet allocation （LDA） topic model was employed to extract key topics of 15 565 Q&A texts related to HPV vaccines from the social Q&A platform "Zhihu". The Baidu AI sentiment analysis tool was used to analyze the emotional tendencies of the texts corresponding to each topic， and the topics were classified based on the strategic coordinate method.ResultsOnline users focused on eight topics about HPV vaccine information. Among them， vaccination knowledge， HPV vaccination hesitation， and HPV vaccine development and marketing belonged to the low positivity-high negativity emotional topics， HPV infection and high-risk factors belonged to the low positivity-low negativity emotional topics， and HPV vaccine appointment channels， comparison between domestic and imported vaccines， HPV vaccines and cervical cancer prevention， and HPV vaccine types and selection were grouped under high positivity-low negativity emotional topics.ConclusionPublic concerns regarding HPV vaccines can be classified into three major dimensions： health knowledge， health beliefs， and health behaviors. Overall， the public's views and attitudes towards vaccine-related issues are not optimistic. Strengthening science publicity and education， enhancing vaccine supervision， and encouraging enterprises’ innovative research and development capability are effective strategies to improve public awareness of cervical cancer prevention and accelerate the full HPV vaccination coverage.

Keywords

• hpv vaccine
• lda
• sentiment analysis
• strategic coordinate method