SynthesisComputers in biology and medicine2021
Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy.
Synthesis in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in vaccine research and development: an umbrella review.Frontiers in immunology · 2025Pooled it
- Optimal strategies for fair vaccine allocation: integrating non-pharmaceutical interventions, regional quarantine, and social challenges in epidemic control.Theory in biosciences = Theorie in den Biowissenschaften · 2026Article
- Defining Health Misinformation: Theoretical Concept Analysis.Journal of medical Internet research · 2026Review
- Sentiment analysis in medication adherence: using ruled-based and artificial intelligence-driven algorithms to understand patient medication experiences.International journal of clinical pharmacy · 2025Article
- Article
- Validating part of the social media infodemic listening conceptual framework using structural equation modelling.EClinicalMedicine · 2024Article
- Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review.Human vaccines & immunotherapeutics · 2023Article
- Review
- A systematic review of physiological signals based driver drowsiness detection systems.Cognitive neurodynamics · 2023Review
- Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy.Computers in biology and medicine · 2023Article
- Survey on sentiment analysis: evolution of research methods and topics.Artificial intelligence review · 2023Article
- Quantified multidimensional public sentiment characteristics on social media for public opinion management: Evidence from the COVID-19 pandemic.Frontiers in public health · 2023Article
- Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network.Cognitive computation · 2022Article
- Understanding the COVID-19 Infodemic: Analyzing User-Generated Online Information During a COVID-19 Outbreak in Vietnam.Healthcare informatics research · 2022Article
- COVID-19 forecasting using new viral variants and vaccination effectiveness models.Computers in biology and medicine · 2022Article
- Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation.Tropical medicine and infectious disease · 2022Article
- A Review of Image Processing Techniques for Deepfakes.Sensors (Basel, Switzerland) · 2022Review
- COVID-19 vaccine hesitancy: a social media analysis using deep learning.Annals of operations research · 2022Article
- Article
- Predictors of COVID-19 vaccine hesitancy in Chad: A cross-sectional study.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A substantial impediment to widespread Coronavirus disease (COVID-19) vaccination is vaccine hesitancy. Many researchers across scientific disciplines have presented countless studies in favor of COVID-19 vaccination, but misinformation on social media could hinder vaccination efforts and increase vaccine hesitancy. Nevertheless, studying people's perceptions on social media to understand their sentiment presents a powerful medium for researchers to identify the causes of vaccine hesitancy and therefore develop appropriate public health messages and interventions. To the best of the authors' knowledge, previous studies have presented vaccine hesitancy in specific cases or within one scientific discipline (i.e., social, medical, and technological). No previous study has presented findings via sentiment analysis for multiple scientific disciplines as follows: (1) social, (2) medical, public health, and (3) technology sciences. Therefore, this research aimed to review and analyze articles related to different vaccine hesitancy cases in the last 11 years and understand the application of sentiment analysis on the most important literature findings. Articles were systematically searched in Web of Science, Scopus, PubMed, IEEEXplore, ScienceDirect, and Ovid from January 1, 2010, to July 2021. A total of 30 articles were selected on the basis of inclusion and exclusion criteria. These articles were formed into a taxonomy of literature, along with challenges, motivations, and recommendations for social, medical, and public health and technology sciences. Significant patterns were identified, and opportunities were promoted towards the understanding of this phenomenon.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.