ArticlePublic health reports (Washington, D.C. : 1974)2014
Media use and communication inequalities in a public health emergency: a case study of 2009-2010 pandemic influenza A virus subtype H1N1.
Article in Public health reports (Washington, D.C. : 1974), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Social consequences of mass quarantine during epidemics: a systematic review with implications for the COVID-19 response.Journal of travel medicine · 2020Pooled it
- Dynamics of public health messaging and healthcare activity in children during the 2022 iGAS surge: an observational study in England.Journal of public health (Oxford, England) · 2026Observational
- Article
- Research on the innovation of early warning mechanisms of major public health emergencies for poverty alleviation and marginal populations: a case study of Fujian Province.Frontiers in public health · 2024Article
- Influence of Social Media Uses and Gratifications on Family Health among U.S. Parents: A Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Effects of media on preventive behaviour during the COVID-19 pandemic.Humanities & social sciences communications · 2023Article
- Geographic social inequalities in information-seeking response to the COVID-19 pandemic in China: longitudinal analysis of Baidu Index.Scientific reports · 2022Article
- Serious Games: A new Approach to Foster Information and Practices About Covid-19?Frontiers in robotics and AI · 2022Review
- Knowledge, attitudes, and practices toward COVID-19: A cross-sectional study during normal management of the epidemic in China.Frontiers in public health · 2022Article
- Factors Associated with Health Inequalities in Infectious Disease Pandemics Predating COVID-19 in the United States: A Systematic Review.Health equity · 2022Review
- Spanish-Language News Consumption and Latino Reactions to COVID-19.International journal of environmental research and public health · 2021Article
- Health authorities' health risk communication with the public during pandemics: a rapid scoping review.BMC public health · 2021Article
- How Gameful Experience Affects Public Knowledge, Attitudes, and Practices Regarding COVID-19 Among the Taiwanese Public: Cross-sectional Study.JMIR serious games · 2021Article
- Journalistic Denial of Death during the Very First Traumatic Period of the Italian COVID-19 Pandemic.Behavioral sciences (Basel, Switzerland) · 2021Article
- Knowledge, attitudes, and practices (KAP) toward COVID-19: a cross-sectional study in South Korea.BMC public health · 2021Article
- Accuracy and Timeliness of Knowledge Dissemination on COVID-19 Among People in Rural and Remote Regions of China at the Early Stage of Outbreak.Frontiers in public health · 2021Article
- Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions.International journal of medical informatics · 2021Article
- Fighting COVID-19 in Hong Kong: The effects of community and social mobilization.World development · 2020Article
- Cross-Country Comparison of Public Awareness, Rumors, and Behavioral Responses to the COVID-19 Epidemic: Infodemiology Study.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectivesStudies have shown that differences among individuals and social groups in accessing and using information on health and specific threats have an impact on their knowledge and behaviors. These differences, characterized as communication inequalities, may hamper the strength of a society's response to a public health emergency. Such inequalities not only make vulnerable populations subject to a disproportionate burden of adversity, but also compromise the public health system's efforts to prevent and respond to pandemic influenza outbreaks. We investigated the effect of socioeconomic status (SES) and health communication behaviors (including barriers) on people's knowledge and misconceptions about pandemic influenza A(H1N1) (pH1N1) and adoption of prevention behaviors.
methodsThe data for this study came from a survey of 1,569 respondents drawn from a nationally representative sample of American adults during pH1N1. We conducted logistic regression analyses when appropriate.
resultsWe found that (1) SES has a significant association with barriers to information access and processing, levels of pH1N1-related knowledge, and misconceptions; (2) levels of pH1N1-related knowledge are associated positively with the adoption of recommended prevention measures and negatively with the adoption of incorrect protective behaviors; and (3) people with higher SES, higher news exposure, and higher levels of pH1N1-related knowledge, as well as those who actively seek information, are less likely than their counterparts to adopt incorrect prevention behaviors.
conclusionStrategic public health communication efforts in public health preparedness and during emergencies should take into account potential communication inequalities and develop campaigns that reach across different social groups.
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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.