1887
Volume 2025, Issue 2
  • ISSN: 0253-8253
  • EISSN: 2227-0426

Abstract

During the coronavirus pandemic, many people looked for information on COVID-19 through social, official, and traditional media sources. This caustic situation resulted in panic among the public, leading to many false news, conspiracy theories, and magical cures being spread among the public at an alarming rate. Controversial theories about the validity of vaccination and non-adoption of disease control resulted in a slow disease control rate and adverse impacts on global health and the economy. Recent studies have shown that health information could safely guard mental health during the COVID-19 pandemic. To adopt a disease control strategy, it is essential to identify the public confidence in information sources and the most efficient media to disseminate intervention messages to the public. The main objectives of this study were to identify from 12 alternative information sources the most utilized COVID-19 source of information, the most trusted information source, and the factors associated with high trust in a given source.

A cross-sectional online survey with 442 participants aged 18 years and above was conducted to assess public views and preferences on sources of information for COVID-19. Data was analyzed using descriptive statistics, correlation, and logistic regression analyses. Bloom’s scale, composite score preference, and chi-squared test were determined for result evaluation purposes.

The study findings suggest that the Ministry of Public Health is a widely trusted information source that offers a potentially effective tool for shaping, designing, and disseminating information messages to shape public attitudes toward control of COVID-19 and enhancement of preventive actions. By offering insight into the pattern of COVID-19 information sources and its associated factors among the public in Qatar, the study formulated a set of recommendations for health decision-makers to set packages to help manage and control the spread of coronavirus.

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2025-06-30
2025-12-15

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References

  1. Zapatero Gaviria A, Barba Martin R. What do we know about the origin of COVID-19 three years later? Rev Clin Esp (Barc). 2023; 223:240–3.
    [Google Scholar]
  2. World Health Organization (WHO) . From emergency response to long-term COVID-19 disease management: sustaining gains made during the COVID-19 pandemic. Geneva: WHO; 2023. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public
    [Google Scholar]
  3. World Health Organization . About EPI-WIN. 2021 Feb. Available from: https://www.who.int/teams/risk-communication/about-epi-win
    [Google Scholar]
  4. Jang K, Baek YM. When information from public health officials is untrustworthy: the use of online news, interpersonal networks, and social media during the MERS outbreak in South Korea. Health Commun. 2019; 34:991–8.
    [Google Scholar]
  5. Spence PR, Lachlan K, Burke JM, Seeger MW. Media use and information needs of the disabled during a natural disaster. J Health Care Poor Underserved. 2007; 18:394–404. https://doi.org/10.1353/hpu.2007.0047
    [Google Scholar]
  6. Liu BF, Fraustino JD, Jin Y. Social media use during disasters. Communic Res. 2015; 13:626–46. https://doi.org/10.1177/0093650214565917
    [Google Scholar]
  7. World Health Organization . Infodemic management. 2021 Feb. Available from: https://www.who.int/teams/risk-communication/infodemic-management
    [Google Scholar]
  8. Pérez-Escoda A, Jiménez-Narros C, Perlado-Lamo-de-Espinosa , Pedrero-Esteban LM. Social networks’ engagement during the COVID-19 pandemic in Spain: health media vs healthcare professionals. Int J Environ Res Public Health. 2020; 21:17.
    [Google Scholar]
  9. Ministry of Health . The Kingdom of Saudi Arabia’s experience in health preparedness and response to COVID-19 pandemic. Riyadh, Saudi Arabia: Ministry of Health; 2020 Aug. Available from: https://www.moh.gov.sa/en/Ministry/MediaCenter/Publications/Documents/COVID-19-NATIONAL.pdf
    [Google Scholar]
  10. Hassounah M, Raheel H, Alhefzi M. Digital response during the COVID-19 pandemic in Saudi Arabia. J Med Internet Res. 2020; 22:(9):e19338. https://doi.org/10.2196/19338
    [Google Scholar]
  11. Ministry of Health . MOH issues COVID-19 awareness guidelines in many languages; 2020 Mar 17. Available from: https://www.moh.gov.sa/en/Ministry/MediaCenter/News/Pages/News-2020-03-17-001.aspx
    [Google Scholar]
  12. Alzahrani T, Alghamdi S, Alqarni M, Alamer S, Alamri M. Bloom’s cutoff score: implications for educational assessment and student performance analysis. Educ Assess Eval Account. 2021; 33:(4):517–33. https://doi.org/10.1007/s11092-021-09367-8
    [Google Scholar]
  13. Freberg K, Palenchar MJ, Veil SR. Managing and sharing H1N1 crisis information using social media bookmarking services. Public Relat Rev. 2013; 39:178–84. https://doi.org/10.1016/j.pubrev.2013.02.007
    [Google Scholar]
  14. Brug J, Aro AR, Oenema A, de Zwart O, Richardus JH, Bishop GD. SARS risk perception, knowledge, precautions, and information sources, the Netherlands. Emerg Infect Dis. 2004; 10:(8):1486–9.
    [Google Scholar]
  15. Uchibori M, Ghaznavi C, Murakami M, Eguchi A, Kunishima H, Kaneko S, et al. Preventive behaviors and information sources during COVID-19 pandemic: a cross-sectional study in Japan. Int J Environ Res Public Health. 2022; 19:(21):14511. https://doi.org/10.3390/ijerph192114511
    [Google Scholar]
  16. Shiina A, Niitsu T, Kobori O, Idemoto K, Hashimoto T, Sasaki T, et al. Relationship between perception and anxiety about COVID-19 infection and risk behaviors for spreading infection: a national survey in Japan. Brain Behav Immun Health. 2020; 6:100101. https://doi.org/10.1016/j.bbih.2020.100101
    [Google Scholar]
  17. Karkhah S, Maroufizadeh S, Hakimi E, Ghazanfari MJ, Osuji J, Javadi-Pashaki N. Information seeking behavior on COVID-19 among older adults: a cross-sectional study in Northern Iran. Gerontol Geriatr Med. 2022; 8:23337214221120746.
    [Google Scholar]
  18. Ragavan MI, Ripper L, Davidson M, Scott T, Gutschow B, Muthama V, et al. COVID-19 information sources for Black and Latine communities: a community co-created survey. Prog Community Health Partnersh. 2022; 16:(2S):23–32. https://doi.org/10.1353/cpr.2022.0035
    [Google Scholar]
  19. Faasse K, Newby J. Public perceptions of COVID-19 in Australia: perceived risk, knowledge, health-protective behaviors, and vaccine intentions. Front Psychol. 2020; 11:551004. https://doi.org/10.1371/journal.pone.0013350
    [Google Scholar]
  20. Liao Q, Cowling B, Lam WT, Ng MW, Fielding R. Situational awareness and health protective responses to pandemic influenza A (H1N1) in Hong Kong: a cross-sectional study. PLoS One. 2010; 5:e13350. https://doi.org/10.1371/journal.pone.0013350
    [Google Scholar]
  21. Bults M, Beaujean DJ, de Zwart O, Kok G, van Empelen P, van Steenbergen JE, et al. Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys. BMC Public Health. 2011; 11:2. https://doi.org/10.1186/1471-2458-11-2
    [Google Scholar]
  22. Blair RA, Morse BS, Tsai LL. Public health and public trust: survey evidence from the Ebola virus disease epidemic in Liberia. Soc Sci Med. 2017; 172:89–97. https://doi.org/10.1016/j.socscimed.2016.11.016
    [Google Scholar]
  23. Alanezi F, Aljahdali A, Alyousef S, Alrashed H, Alshaikh W, Mushcab H, et al. Implications of public understanding of COVID-19 in Saudi Arabia for fostering effective communication through awareness framework. Front Public Health. 2020; 8:494. https://doi.org/10.3389/fpubh.2020.00494
    [Google Scholar]
  24. Lupton D, Lewis S. Learning about COVID-19: a qualitative interview study of Australians’ use of information sources. BMC Public Health. 2021; 21:1289. https://doi.org/10.1186/s12889-021-11271-7
    [Google Scholar]
  25. Szolnoki G, Hoffmann D. Online, face-to-face, and telephone surveys—Comparing different sampling methods in wine consumer research. Wine Econ Policy. 2013; 2:57–66. https://doi.org/10.1016/j.wep.2013.10.001
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): control measures disseminationCOVID-19information sourcespublic preferences and seeking behavior
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