| アブストラクト | The development and rollout of mRNA vaccines during COVID-19 marked a significant advancement in vaccinology, yet public hesitation to vaccination was prevalent, indicating the potential risk that future mRNA-based medical innovations will fail to be adopted. Utilizing a combined approach of large language models with manual validation and unsupervised machine learning, we conducted a social listening analysis to assess attitudes towards mRNA vaccines and therapeutics on Twitter from June 2022 to May 2023, contrasting online perspectives with data from the Vaccine Adverse Event Reporting System. Our findings reveal widespread negative sentiment and a global lack of confidence in the safety, effectiveness, and trustworthiness of mRNA vaccines and therapeutics, with frequent discussions of severe vaccine side effects, rumors, and misinformation. This underscores the need for targeted communication strategies to foster acceptance of medical treatments and strengthen public trust in order to enhance societal resilience to future health challenges. |
|---|
| 組織名 | Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park,;Hong Kong SAR, China.;WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School;of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong;SAR, China.;Department of Infectious Disease Epidemiology, London School of Hygiene &;Tropical Medicine, London, UK.;Centre for the Evaluation of Vaccination, Vaccine & Infectious Disease Institute,;University of Antwerp, Antwerp, Belgium.;Department of Health Metrics Sciences, University of Washington, Seattle, WA,;USA.;Hong Kong SAR, China. Leesa.Lin@lshtm.ac.uk.;SAR, China. Leesa.Lin@lshtm.ac.uk.;Tropical Medicine, London, UK. Leesa.Lin@lshtm.ac.uk. |
|---|
