ArticleJMIR public health and surveillance2020
Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study.
Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.
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Who cites it
120 citing papers in PubMed.
- Association Between Access to Health Information and Frailty in Older Japanese Adults: Web-Based Cross-Sectional Study.Online journal of public health informatics · 2026Article
- COVID-19 Information Sources and Vaccination Status Among Californian Adults by Generation Using the 2022 California Health Interview Survey: Cross-Sectional Study.JMIR public health and surveillance · 2026Article
- The effect of government information release on public protective behaviors during the emerging infectious diseases epidemic in China.Frontiers in public health · 2026Article
- Depression, anxiety, and stress among adults in Kuwait across pre- and post-vaccine phases of the COVID-19 pandemic: a repeated cross-sectional study.Frontiers in public health · 2026Article
- The good, the bad, and the ugly: A qualitative evaluation of web-based COVID-19 vaccine communication in Canada.Human vaccines & immunotherapeutics · 2025Article
- The role of community leaders on rational drug use literacy: A structural equation modeling.Exploratory research in clinical and social pharmacy · 2025Article
- Article
- A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study.JMIR infodemiology · 2025Article
- Knowledge, practice, and information sources regarding infectious diseases among Chinese children and adolescents: a National-Level cross-sectional study.BMC public health · 2025Article
- Article
- Factors associated with knowledge, attitudes, and behaviors regarding antiviral medications for COVID-19 among US adults.PloS one · 2025Article
- Narratives about distributed health literacy during the COVID-19 pandemic.Health (London, England : 1997) · 2025Article
- Assessment of COVID-19 Vaccine Knowledge, Attitude and Practice among the General Population in Duhok Province, Kurdistan Region of Iraq: A Retrospective Cross-Sectional Study.Archives of Razi Institute · 2024Article
- Article
- Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study.JMIR infodemiology · 2024Article
- Understanding the associations between information sources, sociodemographics, and views on public health measures: evidence from the COVID-19 pandemic in Austria.BMC public health · 2024Article
- Useful or not? The discussion of traditional Chinese medicine to treat COVID-19 on a Chinese social networking site.BMJ global health · 2024Article
- Can the 19th-centuryProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Audience Response toAmerican journal of health promotion : AJHP · 2024Article
- Disparities in COVID-19 vaccine intentions, testing and trusted sources by household language for children with medical complexity.PloS one · 2024Article
60 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDuring the COVID-19 pandemic, there is a heightened need to understand health information seeking behaviors to address disparities in knowledge and beliefs about the crisis.
objectiveThis study assessed sociodemographic predictors of the use and trust of different COVID-19 information sources, as well as the association between information sources and knowledge and beliefs about the pandemic.
methodsAn online survey was conducted among US adults in two rounds during March and April 2020 using advertisement-based recruitment on social media. Participants were asked about their use of 11 different COVID-19 information sources as well as their most trusted source of information. The selection of COVID-related knowledge and belief questions was based on past empirical literature and salient concerns at the time of survey implementation.
resultsThe sample consisted of 11,242 participants. When combined, traditional media sources (television, radio, podcasts, or newspapers) were the largest sources of COVID-19 information (91.2%). Among those using mainstream media sources for COVID-19 information (n=7811, 69.5%), popular outlets included CNN (24.0%), Fox News (19.3%), and other local or national networks (35.2%). The largest individual information source was government websites (87.6%). They were also the most trusted source of information (43.3%), although the odds of trusting government websites were lower among males (adjusted odds ratio [AOR] 0.58, 95% CI 0.53-0.63) and those aged 40-59 years and ≥60 years compared to those aged 18-39 years (AOR 0.83, 95% CI 0.74-0.92; AOR 0.62, 95% CI 0.54-0.71). Participants used an average of 6.1 sources (SD 2.3). Participants who were male, aged 40-59 years or ≥60 years; not working, unemployed, or retired; or Republican were likely to use fewer sources while those with children and higher educational attainment were likely to use more sources. Participants surveyed in April were markedly less likely to use (AOR 0.41, 95% CI 0.35-0.46) and trust (AOR 0.51, 95% CI 0.47-0.56) government sources. The association between information source and COVID-19 knowledge was mixed, while many COVID-19 beliefs were significantly predicted by information source; similar trends were observed with reliance on different types of mainstream media outlets.
conclusionsCOVID-19 information source was significantly determined by participant sociodemographic characteristics and was also associated with both knowledge and beliefs about the pandemic. Study findings can help inform COVID-19 health communication campaigns and highlight the impact of using a variety of different and trusted information sources.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.