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Can Post-vaccination Sentiment Affect the Acceptance of Booster Jab?

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Intelligent Systems Design and Applications (ISDA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 716))

Abstract

In this paper, Twitter posts discussing the COVID-19 vaccine booster shot from nine African countries were classified according to sentiments to understand the effect of citizens’ sentiments towards accepting the booster shot. The number of booster shot-related tweets significantly positively correlated with the increase in booster shots across different countries (Corr = 0.410, P = 0.028). Similarly, the increase in the number of positive tweets discussing booster shots significantly positively correlated with the increase in positive tweet intensities (Corr = 0.992, P\(\,<\,\)0.001). The increase in intensities of positive tweets also positively correlated with an increase in likes and re-tweets (Corr = 0.560, P\(\,<\,\)0.001). Topics were identified from the tweets using the LDA model, including – booster safety, booster efficacy, booster type, booster uptake, and vaccine uptake. The 77% of tweets discussing these topics are mostly from South Africa, Nigeria (19%), and Namibia (3%). Our result showed that there is an average 45.5% chance of tweets discussing these topics carrying positive sentiments. The outcome suggests that users’ expressions on social media regarding booster shots could likely affect the acceptance of booster shots either positively or negatively. This research should be relevant to health policy-makers in gathering insight from social media data for the management and planning of vaccination programs during a disease outbreak.

This research is funded by Canada’s International Development Research Centre (IDRC) and the Swedish International Development Cooperation Agency (SIDA) (Grant No. 109559-001). JDK acknowledges support from IDRC (Grant No. 109981), New Frontier in Research Fund- Exploratory (Grant No. NFRFE-2021-00879) and NSERC Discovery Grant (Grant No. RGPIN-2022-04559). B.O. and JDK acknowledges support from the Dahdaleh Institute for Global Health Research. The authors wish to acknowledge the Africa-Canada AI & Data Innovation Consortium (ACADIC) team at York University, Toronto, Canada and University of the Witwatersrand Johannesburg, South Africa.

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Authors and Affiliations

  1. Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, Canada

    Blessing Ogbuokiri, Bruce Mellado, Jiahong Wu, James Orbinski, Ali Asgary & Jude Kong

  2. Laboratory for Industrial and Applied Mathematics, York University, Toronto, Canada

    Blessing Ogbuokiri, Jiahong Wu & Jude Kong

  3. Faculty of Computer Engineering, K.N. Toosi University, Tehran, Iran

    Ali Ahmadi

  4. Advanced Disaster, Emergency and Rapid-Response Simulation (ADERSIM), York University, Toronto, ON, Canada

    Ali Asgary

  5. School of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, South Africa

    Bruce Mellado

  6. Dahdaleh Institute for Global Health Research, York University, Toronto, Canada

    James Orbinski

Authors
  1. Blessing Ogbuokiri
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  2. Ali Ahmadi
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  3. Bruce Mellado
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  4. Jiahong Wu
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  5. James Orbinski
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  6. Ali Asgary
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  7. Jude Kong
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Corresponding authors

Correspondence to Blessing Ogbuokiri or Jude Kong .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, FLAME University, Pune, Maharashtra, India

    Ajith Abraham

  2. Center for Smart Computing Continuum, Burgenland, Austria

    Sabri Pllana

  3. University of Bari, Bari, Italy

    Gabriella Casalino

  4. University of Jinan, Jinan, Shandong, China

    Kun Ma

  5. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

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Ogbuokiri, B. et al. (2023). Can Post-vaccination Sentiment Affect the Acceptance of Booster Jab?. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-35501-1_20

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