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Promoting COVID-19 Vaccination Using the Health Belief Model: Does Information Acquisition from Divergent Sources Make a Difference?

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  • Xiaodong Yang

    (School of Journalism and Communication, Shandong University, Jinan 250100, China)

  • Lai Wei

    (School of Journalism and Communication, Shandong University, Jinan 250100, China)

  • Zhiyue Liu

    (School of Journalism and Communication, Shandong University, Jinan 250100, China)

Abstract

As a promising approach to stop the escalation of the pandemic, COVID-19 vaccine promotion is becoming a challenging task for authorities worldwide. The purpose of this study was to identify the effective sources for disseminating information on the COVID-19 vaccine to promote individuals’ behavioral intention to take the vaccine. Based on the Health Belief Model (HBM), this study illustrated the mechanism of how COVID-19 information acquisition from different sources was transformed into vaccination intentions via health beliefs. Using an online survey in China, the structural equation model results revealed that perceived benefits and cues to action were positively associated with COVID-19 vaccination intentions, and perceived barriers were negatively related to the intentions. However, perceived susceptibility and perceived severity had no significant relationships with the intentions. Moreover, the findings unveiled differences in the effects of acquiring information via multiple sources among traditional media, new media, and interpersonal interactions. Notably, new media and interpersonal interactions were more salient in promoting vaccination intention via health beliefs, compared with traditional media. The findings from this study will benefit health officials in terms of utilizing different information sources in vaccine programs.

Suggested Citation

  • Xiaodong Yang & Lai Wei & Zhiyue Liu, 2022. "Promoting COVID-19 Vaccination Using the Health Belief Model: Does Information Acquisition from Divergent Sources Make a Difference?," IJERPH, MDPI, vol. 19(7), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3887-:d:778859
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    References listed on IDEAS

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    1. George Gaskell & Nick Allum & Wolfgang Wagner & Nicole Kronberger & Helge Torgersen & Juergen Hampel & Julie Bardes, 2004. "GM Foods and the Misperception of Risk Perception," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 185-194, February.
    2. Rubeena Zakar & Ain ul Momina & Sara Shahzad & Mahwish Hayee & Ruhma Shahzad & Muhammad Zakria Zakar, 2022. "COVID-19 Vaccination Hesitancy or Acceptance and Its Associated Factors: Findings from Post-Vaccination Cross-Sectional Survey from Punjab Pakistan," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    3. Bach Xuan Tran & Anh Kim Dang & Phong Khanh Thai & Huong Thi Le & Xuan Thanh Thi Le & Toan Thanh Thi Do & Tu Huu Nguyen & Hai Quang Pham & Hai Thanh Phan & Giang Thu Vu & Dung Tri Phung & Son Hong Ngh, 2020. "Coverage of Health Information by Different Sources in Communities: Implication for COVID-19 Epidemic Response," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
    4. Oberiri Destiny Apuke & Bahiyah Omar, 2021. "Television News Coverage of COVID-19 Pandemic in Nigeria: Missed Opportunities to Promote Health Due to Ownership and Politics," SAGE Open, , vol. 11(3), pages 21582440211, July.
    5. Liqun Liu & Jingzhong Xie & Ke Li & Suhe Ji, 2020. "Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China," IJERPH, MDPI, vol. 17(21), pages 1-27, October.
    6. Huong Thi Le & Diep Ngoc Nguyen & Ahmed Sam Beydoun & Xuan Thi Thanh Le & Thao Thanh Nguyen & Quan Thi Pham & Nhung Thi Kim Ta & Quynh Thi Nguyen & Anh Ngoc Nguyen & Men Thi Hoang & Linh Gia Vu & Bach, 2020. "Demand for Health Information on COVID-19 among Vietnamese," IJERPH, MDPI, vol. 17(12), pages 1-12, June.
    7. Gulzar H. Shah & Ansar Ali Faraz & Hina Khan & Kristie C. Waterfield, 2021. "Perceived Benefits Matter the Most in COVID-19 Preventive Behaviors: Empirical Evidence from Okara District, Pakistan," IJERPH, MDPI, vol. 18(13), pages 1-12, June.
    8. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
    9. Volker Gehrau & Sam Fujarski & Hannah Lorenz & Carla Schieb & Bernd Blöbaum, 2021. "The Impact of Health Information Exposure and Source Credibility on COVID-19 Vaccination Intention in Germany," IJERPH, MDPI, vol. 18(9), pages 1-12, April.
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