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. 2021 Dec:139:104957.
doi: 10.1016/j.compbiomed.2021.104957. Epub 2021 Oct 16.

Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

A H Alamoodi  1 , B B Zaidan  2 , Maimonah Al-Masawa  3 , Sahar M Taresh  4 , Sarah Noman  5 , Ibraheem Y Y Ahmaro  6 , Salem Garfan  7 , Juliana Chen  8 , M A Ahmed  9 , A A Zaidan  7 , O S Albahri  7 , Uwe Aickelin  10 , Noor N Thamir  11 , Julanar Ahmed Fadhil  12 , Asmaa Salahaldin  13
Affiliations

Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

A H Alamoodi et al. Comput Biol Med. 2021 Dec.

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.

Keywords: Medical; Sentiment analysis; Social; Technology; Vaccine hesitancy.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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SLR protocol.
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Themes of systematic literature review.
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Study taxonomy.
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Challenges.
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Motivations.
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Recommendations.
See this image and copyright information in PMC

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