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How Does the Public Receive Information about Vaccines during the COVID-19 Pandemic? A Nationwide Cross-Sectional Study in Spain

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  • Daniel Catalan-Matamoros

    (Medialab Research Group, Department of Communication and Media Studies, Madrid University Carlos III, 28903 Madrid, Spain)

  • Andrea Langbecker

    (Medialab Research Group, Department of Communication and Media Studies, Madrid University Carlos III, 28903 Madrid, Spain)

Abstract

Spain has been one of the most severely impacted countries by COVID-19. Vaccination against COVID-19 is one of the most successful preventive strategies. However, some citizens show vaccine resistance, in part due to widespread disinformation that has been disseminated since the pandemic’s start. The objective of this study was to explore the characteristics of the Spanish population in terms of their use of traditional and social media for COVID-19 vaccine-related information. A countrywide survey was conducted in June 2022 following a descriptive cross-sectional analysis. Respondents declared that 80.4% had received the full schedule of COVID-19 vaccination, and over 60% would take the booster dosage without hesitation. The major reasons for not having the booster vaccine were possible health risks (37%), and a lack of trust in the COVID-19 vaccines (29%). More than 85% of respondents closely followed the news on this topic, with the journalistic media (27%) and health authorities (26%) considered to be the most important sources for pandemic information, while social media was considered by 9% of respondents. Further collaboration between the media and health professionals, as well as campaigns to enhance vaccination uptake of the COVID-19 booster dose, might be considered in future strategies.

Suggested Citation

  • Daniel Catalan-Matamoros & Andrea Langbecker, 2023. "How Does the Public Receive Information about Vaccines during the COVID-19 Pandemic? A Nationwide Cross-Sectional Study in Spain," Societies, MDPI, vol. 13(3), pages 1-11, March.
    • Handle: RePEc:gam:jsoctx:v:13:y:2023:i:3:p:62-:d:1091835
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    References listed on IDEAS

    as
    1. Geoff Brumfiel, 2009. "Science journalism: Supplanting the old media?," Nature, Nature, vol. 458(7236), pages 274-277, March.
    2. Ronnie Das & Wasim Ahmed, 2022. "Rethinking Fake News: Disinformation and Ideology during the time of COVID-19 Global Pandemic," IIM Kozhikode Society & Management Review, , vol. 11(1), pages 146-159, January.
    3. Shadi Shahsavari & Pavan Holur & Tianyi Wang & Timothy R. Tangherlini & Vwani Roychowdhury, 2020. "Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news," Journal of Computational Social Science, Springer, vol. 3(2), pages 279-317, November.
    4. Peter D. Kirwan & Andre Charlett & Paul Birrell & Suzanne Elgohari & Russell Hope & Sema Mandal & Daniela Angelis & Anne M. Presanis, 2022. "Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
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