Mapping global public perspectives on mRNA vaccines and therapeutics.

Jiaxiang Xu, Zhengdong Wu, Lily Wass, Heidi J Larson, Leesa Lin
Author Information
  1. Jiaxiang Xu: Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong SAR, China. ORCID
  2. Zhengdong Wu: Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong SAR, China.
  3. Lily Wass: Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong SAR, China. ORCID
  4. Heidi J Larson: Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. ORCID
  5. Leesa Lin: Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong SAR, China. Leesa.Lin@lshtm.ac.uk. ORCID

Abstract

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.

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Word Cloud

Created with Highcharts 10.0.0mRNAvaccinespublictherapeuticsfuturemedicalperspectivesglobaldevelopmentrolloutCOVID-19markedsignificantadvancementvaccinologyyethesitationvaccinationprevalentindicatingpotentialriskmRNA-basedinnovationswillfailadoptedUtilizingcombinedapproachlargelanguagemodelsmanualvalidationunsupervisedmachinelearningconductedsociallisteninganalysisassessattitudestowardsTwitterJune2022May2023contrastingonlinedataVaccineAdverseEventReportingSystemfindingsrevealwidespreadnegativesentimentlackconfidencesafetyeffectivenesstrustworthinessfrequentdiscussionsseverevaccinesideeffectsrumorsmisinformationunderscoresneedtargetedcommunicationstrategiesfosteracceptancetreatmentsstrengthentrustorderenhancesocietalresiliencehealthchallengesMapping

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