Analyzing information sharing behaviors during stance formation on COVID-19 vaccination among Japanese Twitter users

To prevent widespread epidemics such as influenza or measles, it is crucial to reach a broad acceptance of vaccinations while addressing vaccine hesitancy and refusal. To gain a deeper understanding of Japan's sharp increase in COVID-19 vaccination coverage, we performed an analysis on the post...

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Veröffentlicht in:	PloS one 2024-12, Vol.19 (12), p.e0299935
Hauptverfasser:	Cho, Sho, Hisamitsu, Shohei, Jin, Hongshan, Toyoda, Masashi, Yoshinaga, Naoki
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial neural networks Attitudes Biology and Life Sciences Computer and Information Sciences Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 vaccines COVID-19 Vaccines - administration & dosage Datasets Deep learning East Asian People Epidemics Health behavior Humans Immunization Infectious diseases Influenza Influenza vaccines Information Dissemination Information sharing Information sources Investigations Japan Medicine and Health Sciences Neural networks Online social networks Pandemics People and Places Public health Sentiment analysis Social Media Social networks Social Sciences United States Vaccination - psychology Vaccination Hesitancy - psychology Vaccination Hesitancy - statistics & numerical data Vaccines
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